Claude Skills
The open format is called Agent Skills and works in Claude Code, Codex, Cursor and other agents — most people know it as Claude Skills.
Every Agent Skill we could find on GitHub, deduplicated by content. 79 437 files from 1 744 authors, of which 61 785 are unique — the rest is the same skill repackaged into someone else's repository. For each one: what it weighs in tokens, whether it ships runnable scripts, and which MCP servers it needs.
>- Searches and recovers Claude Code JSONL history across all active config homes and archives registered in ~/.claude/history-sources.json. Use --all-projects when the project is unknown and --codex to include Codex rollout search. Uses internal timestamps and searches messages, thinking, tool inputs/results, queues, attachments, summaries, titles, and file-history paths. Recovers exact captured bytes from Claude file-history snapshots, including post-Write edits and binary files; otherwise labels Write checkpoints as lower fidelity. Use for keyword/date-bounded history search, prior-conversation forensics, deleted-file recovery, vanished ~/.claude/jobs artifacts, tool/file-operation analysis, or requests mentioning session history, find in history, previous conversation, or .claude/projects. For a recent Claude+Codex inventory, use local-conversation-history instead.
>- How to write, test, register, and debug Claude Code hooks — PreToolUse / PostToolUse / SessionStart / Stop Bash guards that enforce a rule the model would otherwise talk itself past. Use whenever the user wants to create a hook, block/intercept a tool call, turn a repeatedly-violated rule into a hard gate, add a guard rail, debug a hook that misfires or "poisons the session", register a hook across profiles, or mentions hooks / PreToolUse / Stop hook / 拦截 / 守卫 / 钩子 / 拦下. Bakes in the hard-won text — a rule about Claude's own output belongs on Stop instead; token-level shlex matching (never awk splitting); bash -n + real-JSON end-to-end testing BEFORE registering (a corrupted PreToolUse hook poisons every Bash call); SSOT + symlink so a ~/.claude reinstall can't lose it; multi-profile convergence; and human-confirmation release gates. Reach for this even for "make it stop doing X" — a durable stop is a hook, not a reminder.
> Fixes broken line wrapping in Claude Code exported conversation files (.txt), reconstructing tables, paragraphs, paths, and tool calls that were hard-wrapped at fixed column widths. Includes an automated validation suite (generic, file-agnostic checks). Triggers when the user has a Claude Code export file with broken formatting, mentions "fix export", "fix conversation", "exported conversation", "make export readable", references a file matching YYYY-MM-DD-HHMMSS-*.txt, or has a .txt file with broken tables, split paths, or mangled tool output from Claude Code.
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>- Migrates Claude Code personal memory (the per-project memory/ directory) into tool-agnostic reference docs, so other AI CLIs that auto-load AGENTS.md (Codex primarily; the content architecture transfers to Cursor and others) working in the same directory can read the same user profile, collaboration preferences, and methodology instead of being blind to them. Use this whenever the user says things like "migrate my memory", "my memory is locked to Claude Code", "make Codex/Cursor read my profile", "memory should live in docs not one tool", or reports that a second AI tool doesn't know who they are; also use it when memory has grown bloated with content that should be shared across tools or projects. Covers diagnosis, the references/ + CLAUDE.md-inline + AGENTS.md-symlink architecture, multi-agent review, empirical codex verification, and memory cleanup. Inline only — it orchestrates review subagents and runs codex.
Diagnose and resolve Claude Code plugin and skill issues. This skill should be used when plugins are installed but not showing in available skills list, skills are not activating as expected, or when troubleshooting enabledPlugins configuration in settings.json. Triggers include "plugin not working", "skill not showing", "installed but disabled", or "enabledPlugins" issues.
>- Set up and maintain multiple isolated Claude Code CLI profiles so students and power users can run different LLM providers (Kimi K3, Kimi K2.7 highspeed, GLM, DeepSeek, StepFun, Anthropic) in separate terminal windows at the same time. Use this skill whenever the user asks about multi-provider Claude setup, multiple Claude Code windows, switching models or the csk/csd/csg aliases, CLAUDE_CONFIG_DIR, the ~/.claude-profiles directory, or running Kimi/GLM/DeepSeek/StepFun alongside Anthropic. It also owns profile-drift troubleshooting — a third-party profile missing skills/hooks/plugins the default profile has, claude-profiles-doctor reporting a real directory where a symlink belongs, or settings not converging — and per-provider context-window configuration (the [1m] marker or explicit CLAUDE_CODE_MAX_CONTEXT_TOKENS).
Analyze Claude Code and Claude Desktop Code token usage, cost, quota burn, model mix, cache read/write, and 5-hour block consumption using ccusage evidence. Use when the user asks why Claude quota was exhausted, whether a model such as fable/opus/sonnet is unusually expensive, how many tokens were spent today or historically, or needs a human-friendly explanation of local Claude Code CLI/Desktop usage.
Recover actionable context from local `.claude` session artifacts and continue interrupted work without running `claude --resume`. This skill should be used when the user provides a Claude session ID, asks to continue prior work from local history, or wants to inspect `.claude` files before resuming implementation.
>- Recover actionable context from a prior Codex CLI session's local rollout files and continue interrupted work without running `codex resume`. Use this whenever the user wants to pick up Codex (OpenAI Codex CLI / GPT agent) work — they give a Codex session id, ask to continue what Codex was doing, say a Codex run was cut off mid-task, or want to inspect `~/.codex/sessions` rollout JSONL before Codex/`~/.codex` sessions, and for continue-claude-work when the prior session was Claude Code (`~/.claude`).
>- Lists recent local Claude Code and OpenAI Codex conversations for a workspace in one read-only command. For Claude Code, the default inventory combines every active config home with every long-term archive registered in ~/.claude/history-sources.json, de-duplicates session IDs, and orders or filters by internal JSONL timestamps rather than file mtime. Produces readable Markdown or JSON with titles, timezone-qualified timestamps, provenance, session IDs, and archive/test markers while excluding internal sub-agent noise by default; Codex raw-rollout fallback also computes internal record bounds without mtime. Use when the user asks to list, show, or browse recent local chats, task history, or session IDs across Claude Code and Codex. Do not use for keyword/full-event search, deleted-file recovery, or resuming work.
>- Converts any Claude Code skills repository into an official plugin marketplace — generates spec-conforming .claude-plugin/marketplace.json, validates with `claude plugin validate`, tests real installation, and PRs the upstream repo, encoding hard-won schema/version/description anti-patterns. Use when the user mentions marketplace, plugin support, one-click install, marketplace.json, plugin distribution, auto-update, or wants a skills repo installable via `claude plugin install`.
>- Read or export the COMPLETE transcript of a Claude.ai web conversation — both private claude.ai/chat/... and public claude.ai/share/... links — by calling Claude.ai's internal API from inside the user's logged-in Chrome, and download its FILES too (uploads, deliverables). Use whenever the user pastes a claude.ai conversation or share link and asks to read, summarize, export, archive, or extract it — "read this Claude conversation", "导出这个网页版对话", "把这个对话拉到本地". Every naive sees only the last message; the default API rendering collapses tool calls into placeholders (~5% of it); a share payload uses block shapes a /chat/-only renderer drops without error. Works even when the claude-in-chrome extension cannot pair claude.ai. For LOCAL Claude Code sessions use claude-code-history-files-finder; for an exported .txt/.json file use claude-export-txt-better.
> Installs, configures, customizes, or troubleshoots the Claude Code statusline (cwd, model, token counts). Use when the user wants to set up or change the statusline, switch minimal vs full layouts, show absolute token counts (e.g. ctx 108K / 1M) instead of a percentage, add cost via ccusage or git status, dump the stdin JSON Claude Code passes the script, or fix a statusline that is blank, silent, stuck, shows "permission denied", or stopped updating statusline", "statusline blank", "status line not showing", "statusline broken", "show token count in statusline", 状态栏, 状态栏不显示, 状态栏空白, 显示工作目录, 显示 token 数.
> Render a terminal CLI program's colored output to a PNG so Claude can actually SEE the real visual result — color contrast, alignment, background blocks, highlighting — instead of only reading plain text and raw ANSI escape codes. delta git diff colors, bat syntax highlighting, starship prompt, eza/ls colors, git diff, ripgrep matches, or any ANSI-colored output. ALWAYS use it right after changing any CLI color config (delta / bat / themes / lazygit pager) to visually confirm the result rather than guessing from hex values — reading a hex code is not the same as seeing the rendered contrast on the real terminal background. terminal screenshot, render terminal output, ANSI to image, "does this color look right", "is the contrast enough", delta/bat color verification.
Converts DOCX/PDF/PPTX to high-quality Markdown with automatic post-processing. Fixes pandoc grid tables, simple tables, image paths, CJK bold spacing, attribute noise, and code blocks. Benchmarked best-in-class (7.6/10) against Docling, MarkItDown, Pandoc raw, and Mammoth. Trigger on "convert document", "docx to markdown", "parse word", "doc to markdown", "解析word", "转换文档".
Consolidates redundant documentation while preserving all valuable content. This skill should be used when users want to clean up documentation bloat, merge redundant docs, reduce documentation sprawl, or consolidate multiple files covering the same topic. Triggers include "clean up docs", "consolidate documentation", "too many doc files", "merge these docs", or when documentation exceeds 500 lines across multiple files covering similar topics.
>- Produce production-grade Word (.docx) documents — especially Chinese ones — by driving the 把 markdown 转成 Word / Word 排版 / 中文排版 / 签字栏 / 盖章版 / 甲方乙方, or any plain markdown-to-docx OpenXML generator, the alignment-layering rule that stops justified text from stretching 甲方/乙方 info blocks and signature blocks into garbage, per-list numbering restart, CJK font dual-slot setup, and a mandatory LibreOffice-to-PDF-to-PNG visual verification chain (qlmanage thumbnails are banned — they hide exactly the bugs that matter). Engine belongs to minimax-docx; correct usage and the field-tested workarounds belong here. For PDF output use
Extracts Mermaid diagrams from markdown files and generates high-quality PNG images using bundled scripts. Activates when working with Mermaid diagrams, converting diagrams to PNG, extracting diagrams from markdown, or processing markdown files with embedded Mermaid code.
Convert markdown files to professional PDF documents with proper Chinese font support, theme system, and visual self-check. Use whenever the user asks to create PDFs, convert markdown to PDF, generate printable documents, or needs documents formatted for print or mobile reading. This skill MUST be used instead of manual pandoc/Chrome invocations — it handles CJK typography, Chrome header/footer suppression, and mandatory visual verification that manual approaches miss. **Scope — markdown → PDF only.** For Word (.docx) output use `daymade-docs:docx-creator`; this skill does not produce docx and the two pipelines are intentionally orthogonal.
Converts a PDF into one self-contained, readable HTML file that preserves images, tables, charts and reading order — optionally translating it into another language while keeping every figure. Uses structured extraction (PyMuPDF), font-size-driven layout, compressed base64-inlined images (a single portable file), and mandatory headless-Chrome visual verification. Use whenever someone wants to READ a PDF as a web page or clean document, turn a PDF into HTML, or translate a PDF into another language while keeping its images/tables/charts intact — e.g. "PDF 转 HTML", "把这个 PDF 转成中文网页版", "make this report readable", "translate this PDF but don't lose the charts", "I just want to read this PDF on my phone". Distinct from doc-to-markdown (plain Markdown text) and pdf-creator (Markdown→PDF) — this one produces a styled, image-faithful HTML reading experience.
>- Two pipelines ending at a scanner-look PDF. (1) Phone photos of paper documents (contracts, stamped certificates, receipts, forms, handwritten 做成扫描件", "photos to scanned PDF", "make this look scanned", "手机拍的 文档转 PDF", "盖章文件扫描", replacing pages in an existing scanned PDF, any CamScanner-like request. (2) A digital document with no signature yet (rendered docx/PDF, confirmation form, contract draft) → make it look it onto the signature line, apply the same scan-look post-processing. "synthesize a signature", any request for a document that needs to look signed without a real photographed signature. Do NOT hand-roll levels/contrast enhancement for scan-look — tried and rejected twice; this skill's pipeline is the proven one.
Create professional slide decks from topics or documents. Generates structured content with data-driven charts, speaker notes, and complete PPTX files. Applies persuasive storytelling principles (Pyramid Principle, assertion-evidence). Supports multiple formats (Marp, PowerPoint). Use for presentations, pitches, slide decks, or keynotes.
>- 抓取 A 股消息面情报：从财联社、华尔街见闻、金十、新浪 7x24、东财快讯、 证监会/央行/上交所/财政部政策公告、东方财富股吧等公开来源抓取与股票相关的 新闻、政策、情绪，输出结构化 JSON 或 Markdown。 当用户提到“A 股消息面”、“抓新闻”、“个股消息”、“政策监管”、“股吧情绪”、 “财联社”、“东财快讯”、“市场情绪”或需要把某只股票相关的公开情报聚合出来时 触发。也适用于“帮我看看 000001 最近有什么消息”这类口语化请求。
>- Pull Bigdata.com (RavenPack) financial and news data via the official `bigdata-client` SDK and `/v1/*` REST endpoints — structured financials, prices, analyst estimates, daily entity-sentiment series, annotated chunk search, screener — when the Bigdata MCP returns only pre-synthesized tearsheets but you need the machine-readable substrate. Use when the user mentions Bigdata.com, RavenPack, a `bd_v2_` key, the bigdata MCP, rp_entity_id, chunk/query_unit cost, or wants structured financials, fundamentals, prices, sentiment, or annotated news.
Collect real financial data for any US publicly traded company from free public sources (yfinance). Output structured JSON consumable by downstream financial skills (DCF modeling, comps analysis, earnings review). Handles market data (price, shares, beta), historical financials (income statement, cash flow, balance sheet), WACC inputs, and analyst estimates. Use when users request collect data for ticker, get financials for company, pull market data, gather DCF inputs, or any task requiring structured financial data before analysis. Also triggers on financial data, company data, stock data.
Gangtise (岗底斯投研) OpenAPI skill suite installer and diagnostic tool. One-click install 19 official skills (data, research, utility), configure accessKey/secretAccessKey, run health diagnostics. Trigger when user mentions Gangtise, 岗底斯, any gangtise-* skill, credential setup, or reports errors like 'token is invalid' / '接口地址错误'.
> 生成 A 股医药行业日报：从新浪财经抓取 20 只核心医药股实时行情，分析 7 大细分赛道排名、涨跌榜 TOP 3、资金流向，然后通过飞书发送富文本日报。 覆盖恒瑞医药、百济神州、智飞生物、药明康德、迈瑞医疗、片仔癀、云南白药等 20 只核心标的。 当用户需要 医药日报、医药行业日报、pharma daily report、 新浪财经医药数据、A 股医药板块分析、飞书推送医药数据、 制药行业快报 时触发。也适用于"帮我看一下今天医药板块"、 "给飞书发一份今天的医药数据"等口语化请求。
>- Create new skills, modify and improve existing skills, and measure skill performance. This daymade edition supersedes the official skill-creator plugin — when both appear in the skill list, always use this one. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy. Also use for its three specialized distillations, even when the user never says "skill" — "wrap this session up as a skill" / "把这次 session 做成一个 skill" (wrapper skill for a third-party tool), "mine my chat history for patterns" / "把这次对话沉淀到 skill 里" (conversation mining), and "these are my approved examples, learn what I really want" / "从我认可的样例里提炼我真正的喜好" (artifact-corpus preference distillation).
>- Enforce source-of-truth discipline for Claude Code skill marketplaces, caches, and loose userSettings skills. Use whenever the user says "check skill drift", "检查 skill 漂移", "sync skills from source", "以源码为准同步 skill 缓存", "clean old skill cache versions", "清理 skill 缓存旧版本", "switch marketplace to local source", "marketplace 切到本地源码", "thin skills", "薄 skill", "loose skills", "清理 user skills", or talks about skill caches being stale, version mismatches, orphaned plugins, duplicate direct-copy skills, untracked user skills, or rebuilding the marketplace cache from a local source repo.
Reviews and improves Claude Code skills against official best practices. Supports three modes - self-review (validate your own skills), external review (evaluate others' skills), and auto-PR (fork, improve, submit). Use when checking skill quality, reviewing skill repositories, or contributing improvements to open-source skills.
This skill should be used when users want to search, discover, install, or manage Claude Code skills from the CCPM registry. Triggers include requests like "find skills for PDF", "search for code review skills", "install cloudflare-troubleshooting", "list my installed skills", "what does skill-creator do", or any mention of finding/installing/managing Claude Code skills or plugins.
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| Generate format-controlled research reports with evidence tracking, citations, source governance, and multi-pass synthesis. This skill should be used when users request a research report, literature review, market or industry analysis, "research this topic", "write a report on", "survey the literature on", "competitive analysis of", "技术选型分析", "竞品研究", "政策分析", "行业报告".
Batch-generate and compare visual design directions so a user can choose the style they actually want. Use when the user says they cannot describe an abstract visual style, asks for many style options, wants to choose from generated UI/design-system images, rejects outputs as too colorful/too dead/too generic, or needs an existing UI/design system evolved without discarding current assets.
> Export and sync Douban (豆瓣) book/movie/music/game collections to local CSV files via Frodo API. Supports full export (all history) and RSS incremental sync (recent items). Use when the user wants to export Douban reading/watching/listening/gaming history, back up their Douban data, set up incremental sync, or mentions 豆瓣/douban collections.
Download, export, save, or package images from a Google Gemini conversation/chat/app page, especially uploaded images or generated image previews visible in a Gemini thread. Use when the task needs logged-in Chrome/Gemini state, opening Gemini image lightboxes, downloading the larger displayed image files, renaming them in order, and producing a ZIP archive.
Create, parse, and control Excel files on macOS. Professional formatting with openpyxl, complex xlsm parsing with stdlib zipfile+xml for investment bank financial models, and Excel window control via AppleScript. Use when creating formatted Excel reports, parsing financial models that openpyxl cannot handle, or automating Excel on macOS.
Verifies factual claims in documents using web search and official sources, then proposes corrections with user confirmation. Use when the user asks to fact-check, verify information, validate claims, check accuracy, or update outdated information in documents. Supports AI model specs, technical documentation, statistics, and general factual statements.
Extract Feishu (Lark) Docs, Wiki pages/collections, spreadsheets, and Minutes (妙记) transcripts into faithful local Markdown via the lark-cli API (no LLM rewriting of the body; browser-DOM fallback when lark-cli can't reach the content). Use whenever the source is a Feishu/Lark URL and fidelity matters — 导出飞书文档/合集/妙记转写, 把飞书 wiki/知识库转 markdown, archiving a Feishu collection, exporting a 妙记 transcript, or saving a Feishu page — even if the user only says clipping, archiving, converting, or "save this". Also covers the owner-exported .docx → faithful Markdown path.
>- Audits already-rendered web, landing-page, HTML deck/slide, browser tool/game, dashboard/admin, design-system, and desktop UIs using real-browser or native-app journeys, inspected screenshots, DOM geometry, responsive or projection viewports, and a bundled Playwright sweep. Use after UI implementation to find typography, wrapping, overlap, overflow, responsive, route, overlay, map, transient-state, data-visualization, browser-output, file-dialog, PDF/print, or Electron-shell defects, or to compare a rendered artifact with a visual reference. Do not use for greenfield UI design, extracting a design system from screenshots, general QA-program setup, or nonvisual code debugging.
Analyze Google Takeout exports of Gemini conversation history. Use when the user mentions Gemini takeout, Gemini export, Gemini history, Gemini conversation analysis, Google Takeout zip analysis, or drags a takeout zip into the project. Also use when the user asks to "analyze my Gemini data", "what did I talk to Gemini about", or wants to extract insights from Gemini chat logs.
>- wrong-branch commits, dirty or detached worktrees, forgotten duplicate clones of the same repo, untracked work no bundle can back up, orphaned stashes, dangling commits, stale branches, and squash/rebase merge uncertainty. Use when the user fears work was lost; asks to recover a commit or branch; asks whether a worktree, clone, or scratch directory can be deleted; wants everything converged onto one main branch; or needs proof that cleanup will not drop work. Use it even after an audit reported clean on disk. Triggers on "did I lose work", "is everything merged", "is anything else lost", "safe to delete this clone", "clean up old branches/stashes", "only keep one main branch", "git reflog", "dangling commits", "分支灾难", "误删分支/commit", "worktree 能删吗", "还有没有丢的东西", "只保留一个主分支". Covers local-Git forensics, not GitHub PR/API operations or routine sync.
End-to-end playbook for shipping high-quality pull requests to open-source projects you don't maintain — discovery, CONTRIBUTING compliance, PR-size check, minimal-diff implementation, PR description with AI-assisted disclosure, conflict resolution, and post-submission maintainer interaction. Use whenever creating, editing, or pushing a PR to a third-party GitHub repo — "submit a PR", "open a PR", "fix this upstream", "rebase against main", "respond to the bot review", an `owner/repo` target, or 提 PR / 上游 PR / 贡献代码 / rebase 冲突 / 回应维护者.
Provides comprehensive GitHub operations using gh CLI and GitHub API. Activates when working with pull requests, issues, repositories, workflows, or GitHub API operations including creating/viewing/merging PRs, managing issues, querying API endpoints, and handling GitHub workflows in enterprise or public GitHub environments.
>- Reviews or re-reviews one contributor pull request—including an explicitly named closed PR being reconsidered—or a bounded newest-to-oldest sweep of all open contributor PRs, for a GitHub repository maintainer against the current base branch. Handles base drift, history discontinuities, polluted branches, ownership, curation, supersession, and review-conditioned repair or landing using immutable Git snapshots, three-way merge results, isolated contribution projection, checks, tests, and findings-first reporting. Use for a PR URL or number, "main changed, review again", "review all open PRs newest to oldest", "apply our maintainer principles", "can we merge this and fix the rest ourselves?", or merge readiness. Do not use for general GitHub CRUD, repository-wide audits, CI-only diagnosis, security-only diff audits, unpushed local diffs, merely addressing existing review comments, or merging without a fresh review.
>- Scan and remove sensitive data (secrets, API keys, private domains/IPs, PII) from GitHub repository history. Use this skill whenever the user says "scan sensitive data", "clean git history", "remove secrets from repo", "sanitize GitHub history", "清理敏感数据", "历史重写", "force push", "泄露", or needs to repair a public repo after accidental secret/private context leakage. Also use before any force push to a public repository to verify visibility, backup, and scan results.
This skill should be used when setting up, auditing, or enforcing internationalization/localization in UI codebases (React/TS, i18next or similar, JSON locales), including installing/configuring the i18n framework, replacing hard-coded strings, ensuring en-US/zh-CN coverage, mapping error codes to localized messages, and validating key parity, pluralization, and formatting.
Develops iOS/macOS apps with XcodeGen, SwiftUI, and SPM, including Apple Developer signing, notarization, and CI/CD pipelines. Use when building iOS/macOS apps, fixing Xcode build failures, deploying to real devices, or configuring CI/CD signing. Triggers on XcodeGen project.yml, SPM dependency issues, code signing errors (Error -25294, keychain mismatch, adhoc fallback, EMFILE, notarization credential conflict), "Library not loaded @rpath", Electron @electron/osx-sign / @electron/notarize, notarytool, or certificate/provisioning problems.
> Installs, troubleshoots, and personalizes the official Tencent IMA skill (a wrapper layer that orchestrates upstream ima-skill, not a replacement). Use when the user mentions IMA, 腾讯 IMA, ima.qq.com, ima-skill, installing or configuring ima-skill, IMA API key / credentials, searching across IMA knowledge bases, 知识库搜索, 笔记搜索, fan-out search with preferred KBs / priority boosting, or wants to diagnose, repair, or personalize an ima-skill install. Also trigger on the missing-YAML-frontmatter bug in ima-skill submodule SKILL.md files and errors like "Skipped loading skill(s) due to invalid SKILL.md".
>- availability (max_tokens-aware), request fidelity (does system prompt/tools/history REACH the model, or does the gateway silently drop it), speed (TTFT+tok/s), concurrency (before a workshop), Anthropic protocol compliance, quality regression, vendor bug reports, deployment gates, resident canaries. Reach for this BEFORE provider, decides whether to switch or temporarily fail over to an alternate channel (e.g. outage or quota exhaustion), writes a supported-models list, debugs "model ignores system prompt", or verifies a tok/s claim. Triggers on "benchmark this model", "测一下这个模型/渠道/API", "接入新模型先测一下", "system prompt 不生效", "这个渠道能不能用/稳不稳", "临时切换过去顶一阵子" — even without "eval", even wrapped in business narrative.
Finding and accessing AI/LLM model brand icons from lobe-icons library. Use when users need icon URLs, want to download brand logos for AI models/providers/applications (Claude, GPT, Gemini, etc.), or request icons in SVG/PNG/WEBP formats.
Co-create a personal investment-research LLM Wiki (Andrej Karpathy's pattern) where the user's OWN analysis framework becomes a living CLAUDE.md — by interviewing them, NOT by handing them a template. Use whenever the user wants to build a compounding research knowledge base, 投研第二大脑, 投研知识库, or 个人投研 wiki; instantiate Karpathy's LLM Wiki gist for finance/investing; turn their stock-picking, analyst-tracking, or earnings-watching workflow into a structured markdown vault; or build a wiki tracking companies / industries / macro / analysts over time. Pure markdown + wikilinks, NO RAG / vector DB (Karpathy's core idea — do not over-engineer). Also triggers for ingesting research reports / earnings calls / expert notes into an existing wiki, and for post-earnings prediction→fulfillment reviews. Core value = extracting the user's personal investment preferences into THEIR OWN schema, never imposing a standard one.
Launch and manage OpenAI Codex CLI (local agent) as a non-interactive coding sub-agent. Use when the user wants to delegate coding tasks to Codex, run code reviews, generate or refactor code, or use Codex GPT-5.5 agent capabilities through local CLI. Triggers on phrases like 'codex', 'run codex', 'codex exec', 'code review with codex', 'delegate to codex', 'use codex for coding', or any request to invoke the local Codex CLI agent. Uses ChatGPT Pro OAuth (flat-rate, no API charges) via ~/.codex/auth.json. Never uses API keys.
Analyze and reclaim macOS disk space through intelligent cleanup recommendations. This skill should be used when users report disk space issues, need to clean up their Mac, or want to understand what's consuming storage. Focus on safe, interactive analysis with user confirmation before any deletions.
>- Run a full 6-dimension health check of this Claude Code skills marketplace repo — code/script safety, documentation/SSOT consistency, security/PII leaks, open-PR triage, open-issue triage, and marketplace-manifest integrity — via a parallel fan-out Dynamic Workflow, then verify the serious findings and report them by priority. Use this whenever the user asks to check the repo, run a health check, do a full sweep/audit before a release, 全面体检, 检查仓库状态, 看看仓库健康吗, 审计一下仓库, or asks whether the PRs / issues / docs / versions / PII are in good shape across the board — even if they never say the word "workflow". Reach for it for any broad "is this whole repo OK" request, not just one-file checks.
>- Send a single one-off message to a WeCom (Enterprise WeChat) group bot. Use this skill whenever the user says "/notify-wecom", "send a quick WeCom message", "企微通知一下", "临时发一条企业微信", or any one-shot notification that does not need a reusable template or setup workflow. The message is sent immediately; no confirmation prompt is shown unless the message is empty or the webhook is not configured.
>- change the default model, add model definitions, and fix model-config failures — 401 "Invalid token", "No available channel / model not found", thinking-level rejections ("Thinking level X is not supported"), and config edits that don't take effect. Use whenever the user wants to switch/upgrade/rollback the OpenClaw model (切换模型/换模型/ 升级模型), or says the OpenClaw/龙虾 bot's model is misconfigured (模型配的错了), or the bot falls back / errors on LLM calls.
>- Manage OpenClaw (龙虾) instance configurations. Use whenever the user wants to audit, diff, copy, add-model, list, or switch models in an openclaw.json file, or when they mention lobsters, 虾, 甲虾, 乙虾, DeepSeek patch, default model, model aliases, or OpenClaw config validation.
Multi-path parallel product analysis with cross-model test-time compute scaling. Spawns parallel agents (Claude Code agent teams + Codex CLI) to explore product from multiple perspectives, then synthesizes findings into actionable optimization plans. Can invoke competitors-analysis for competitive benchmarking. Use when "product audit", "self-review", "发布前审查", "产品分析", "analyze our product", "UX audit", or "信息架构审计".
Claude Skills — questions
Answers built from the skills we actually parsed.