4 121 agent workflow skills from 665 authors. They configure the agents themselves: memory, prompts, context and other skills. Half of them fit into 1 845 tokens or less — that is what one costs your context window when the agent loads it. 778 ship runnable scripts rather than instructions alone. 5 of them cannot work without an MCP server, most often task. We also found 541 copies of these same skills sitting in other people's repositories — counted once here, not 541 times.
4 121 unique 665 authors 2 767 updated this month 506 from vendors
Foundation skill for global personal brand cluster. Creates `.agents/personal-brand-context-global.md` with region-specific personal brand context plus visual identity and visual asset inventory (style refs, face refs, logo, palette, background). 4 region variants (US/EU/SEA/LATAM); each covers founder/coach/creator inside. Reads BEFORE other PB skills (23-28 global). Trigger: 'global personal brand', 'international personal brand', 'US founder brand', 'EU coach brand', 'creator economy global', 'personal brand reference image', 'personal visual identity'.
Khi nguoi dung muon tao hoac cap nhat tai lieu goc ve personal brand — dinh vi ca nhan, niche, story arc, content pillars, audience ca nhan, brand voice, visual identity, visual asset inventory (anh style ref, face ref, logo, palette), monetization muc tieu. Cung dung khi nguoi dung nhac 'personal brand', 'thuong hieu ca nhan', 'ho so ca nhan', 'founder context', 'coach context', 'creator context', 'ICP cho ca nhan', 'anh reference ca nhan', 'visual identity ca nhan'. Foundation skill — chay TRUOC moi skill personal brand khac (23-28). Tao file `.agents/personal-brand-context.md` voi 13+ sections.
Generates structured Given/When/Then acceptance criteria for a user story or feature slice, covering the happy path, key failure scenarios, and non-functional expectations in testable form. Use when turning requirements into verifiable scenarios for engineering handoff and QA sign-off. For a dedicated catalog of boundary conditions, error states, and recovery paths across a feature, use deliver-edge-cases; to write the stories themselves, use deliver-user-stories.
>- Checks for newer pm-skills releases, compares local vs. latest version, previews what would change, and updates local files after user confirmation. Generates a structured update report documenting changed files, new capabilities, and the value delta between versions. Use when you want to bring a local pm-skills installation up to date.
Checks for newer pm-skills releases, compares local vs. latest version, previews what would change, and updates local files after user confirmation. Generates a structured update report documenting changed files, new capabilities, and the value delta between versions. Use when you want to bring a local pm-skills installation up to date.
Creates a comprehensive Product Requirements Document that aligns stakeholders on what to build, why, and how success will be measured. Use when specifying features, epics, or product initiatives for engineering handoff.
Produce a comprehensive, evidence-grounded prioritized action plan from any PM input (notes, transcripts, drafts, executive asks, Slack threads, or a raw situation). Outputs one saveable document with an executive summary, input mirror, situation classification (Cynefin), the binding constraint (Theory of Constraints), prioritized questions and open decisions, a ranked action plan with the critical effort plus follow-ons, risks and pre-mortem, copy/paste prompts for downstream pm-skills, and an evidence map. Builds a source ledger and cites exact input quotes; refuses High-confidence plans for Complex or Chaotic situations. Use when you want the critical next effort and how to execute it.
Day 2 (Tuesday) move of a Design Sprint that structures lightning demos and the four-step independent solution sketch protocol (Notes, Ideas, Crazy 8s, Solution Sketch). Each team member produces one solution sketch individually; the skill orchestrates the day but does not author the sketches themselves. Use Tuesday morning after Monday's target moment is locked. Output is the lightning demo board, sketch assignments, and the cohort of independent sketches that become Wednesday's heat-map material.
Walk the guided 6-gate release runbook (G0 readiness, G1 adversarial review, G2 version bump and CHANGELOG, G2.5 commit and re-verify, G3 tag and push, G4 post-tag hygiene) via the pm-release-conductor sub-agent. Refuses gate bypasses and tags only the re-verified SHA. Use when cutting a pm-skills release.
Run a repo-wide cross-cutting governance audit via the pm-skill-auditor sub-agent. Aggregates the enforcing validator suite, re-derives aggregate counters, and surfaces cross-cutting issues no single validator catches, graded P0/P1/P2/P3 with a machine-readable status. Use for pre-release readiness checks or a periodic repo health audit.
Guides contributors from a PM skill idea to a complete Skill Implementation Packet aligned with pm-skills conventions. Runs gap analysis, validates through a Why Gate, classifies by type and phase, generates draft files, and writes to a staging area for review before promotion.
Applies targeted improvements to an existing pm-skills skill based on feedback, validation reports, or convention changes. Reads current files, previews proposed changes, writes on confirmation, and suggests a version bump. Use when improving a skill after validation or feedback.
Audits an existing pm-skills skill against structural conventions and quality criteria. Produces a structured validation report with pass/fail checks, severity-graded findings, and actionable recommendations. Use when checking whether a skill meets repo standards before shipping or after making changes.
Run an ordered sequence of pm-skills against one input, pausing for go/no-go and stopping on a failed or empty step. Accepts a saved prioritized action plan (Mode A) or an ad-hoc named chain (Mode B; the chain command routes here). Explicit invocation only; run --dry-run first while the native path is EXPERIMENTAL. To author a durable workflow instead, use utility-pm-workflow-builder.
| CONTRIBUTOR TOOL - Validate plugin against latest Claude Code documentation. Catches breaking changes, deprecations, discovers new features. Run before releases or periodically. NOT part of the distributed plugin.
Guide plugin development workflow — editing skills, agents, hooks, or eval framework in this repo. Use when modifying files in plugins/elixir-phoenix/, lab/eval/, or lab/autoresearch/. Ensures changes pass eval, lint, and tests before committing.
Compute metrics for Claude Code sessions. Discovers via ccrider, filters trivial, computes friction/opportunity/fingerprint scores. Use for broad session triage.
Deep qualitative analysis of high-signal sessions. Spawns subagents with v2 template, synthesizes patterns, compares against known findings. Use after /session-scan.
Analyze trends across session metrics. Computes windowed aggregates, deltas, and compares against MEMORY.md findings. Use periodically for progress tracking.
Analyze skill effectiveness across sessions. Computes per-skill metrics (action rate, friction, outcomes), identifies degrading skills, and generates improvement recommendations. Requires session-scan data in metrics.jsonl.
Choose Phoenix review, plan, debug, or test command. Use when user asks which /phx: command or plugin skill handles a task; do not route only to a domain skill. NEVER for bare /help; NOT for ambiguous requests (use intent-detection) or a plugin tour.
Recommend safe Bash permissions for Elixir mix commands in settings.json. Use when permission prompts slow workflow, "fix permissions", "reduce prompts", "auto-allow mix".
Review code with parallel agents — tests, security, Ecto, LiveView, Oban. Use after implementation to catch bugs and anti-patterns before committing.
Apply an advisory edit scope in this session. Use for read-only or directory-scoped work; no enforcement hook is installed.
Choose Phoenix review, plan, debug, or test command. Use when user asks which phx-* command or plugin skill handles a task; do not route only to a domain skill. NEVER for bare /help; NOT for ambiguous requests (use intent-detection) or a plugin tour.
Investigate Elixir/Phoenix bugs root-cause first. Reproduce failures, cite evidence, and use optional Amp subagents only when useful.
Apply an advisory scope in this session. Use for read-only or directory-scoped work; no enforcement hook is installed.
Recommend the right $elixir-phoenix:phx-* workflow. Use when choosing a plugin skill, not for Codex /help.
Investigate Elixir/Phoenix bugs root-cause first. Reproduce failures, cite evidence; Codex subagents are optional.
Recall prior work from past sessions — how a bug was fixed, what was; Use when asked 'have we done this before'…
Apply an advisory edit scope in this session. Use for read-only or directory-scoped work; no enforcement hook is installed.
Choose Phoenix review, plan, debug, or test command. Use when user asks which /phx-* command or plugin skill handles a task; do not route only to a domain skill. NEVER for bare /help; NOT for ambiguous requests (use intent-detection) or a plugin tour.
Investigate Elixir/Phoenix bugs root-cause first. Reproduce failures, cite evidence, and use optional native OpenCode subagents only when useful.
Apply an advisory edit scope in this session. Use for read-only or directory-scoped work; no enforcement hook is installed.
Choose Phoenix review, plan, debug, or test command. Use when user asks a domain skill. NEVER for bare /help; NOT for ambiguous requests (use intent-detection) or a plugin tour.
Investigate Elixir/Phoenix bugs root-cause first. Reproduce failures, cite evidence, and use optional Pi subagents only when useful.
Designing conversational flows for website chatbots and AI agents. Intent recognition architecture, branching logic, fallback handling, escalation to human, conversation analytics. Honest about scripted-bot (rigid trees, fail edge cases), hallucinating-bot (LLM without structure, makes things up), and structured-guided-conversation (LLM-powered with intent architecture and fallback discipline) patterns. Distinguishes chatbot DESIGN (this skill) from chatbot IMPLEMENTATION (engineering and platform work). Triggers on chatbot, conversational AI, AI agent, chat widget, intent design, conversational flow, bot escalation, LLM grounding. Also triggers when a chatbot is hallucinating, when a scripted bot is failing edge cases, or when a chatbot is being scoped for the first time.
Create or refine a creative brief that bridges discovery and execution. Use this skill whenever the user is starting a new project, kicking off a website, beginning a brand build or redesign, briefing a designer or developer or AI agent, or trying to align a team before building. Triggers on creative brief, design brief, brand brief, project kickoff, kicking off, briefing the team, project intake, design direction, brief the designer, brief the dev, where do we start, how do we start, write a brief, project overview, scope this project, align on direction. Also triggers when the user has a vague idea and needs to make it concrete enough to hand off, even if they do not say 'brief' explicitly.
Step-by-step guide for creating your own Claude Skills, from deciding whether a skill is the right tool to writing the SKILL.md file, structuring reference material, and making it trigger reliably. Use when you want to package a workflow, framework, or repeated task into a reusable Skill, when an existing skill is not triggering or not loading the right context, when you are auditing a skill that is underperforming, or when you want to publish a skill for others. Also triggers when someone asks "how do I make a skill" or "what makes a good skill". Useful for individuals, teams, and anyone publishing skills publicly.
Entry point + orchestrator for the recomby-geo GEO (Generative Engine Optimization) workflow on OpenAI Codex CLI. Use when the user wants to run any stage of the GEO pipeline on a client folder — intake, visibility audit, content-gap analysis, content brief, draft production, distribution, or monthly re-audit — or asks to "run GEO", "audit AI search visibility", or "GEO this client". Codex has no bare slash commands, so this skill is how the 7 stages (that Claude Code runs as /01-intake … /07-reaudit) are driven on Codex. It routes to the per-stage specs in this plugin's commands/ and enforces the orchestration rules. Does not auto-fill expert content — the human-in-loop brief checkpoint is the moat.
>- 落到每个项目自己的 .light/ 目录(项目卡 + 决策日志 + 版本史 + 受控术语表 + 跨会话交接卡), 复用 passport.py 引擎管 DAG 台账(不重造)。它是 consistency 事实源的归属方,定义一改即变更广播 版本/决策、会话开头续跑或接手、重要进展后立即落账、上下文将尽要交接、改术语/指标/创新点定义后。 交接 / handoff / 启动提示词 / 术语表 / 变更广播 / 归档 / 台账 / .light / passport / 跨会话。 自洽用 pm.py audit 出 exit code(不口头说"记过了");不可逆决策(归档/教训回写)停下问用户。
>- Prepare evidence-backed patent invention disclosure materials for attorney or patent-agent review. Use when the user asks for 专利点挖掘, 技术交底书, 现有技术/查新记录, claim/patent-point support mapping, invention disclosure drafts, patent figures, or a handoff package for a software/research/project invention. This is an not submit filings, does not guarantee novelty, grant, allowance, validity or registration, and emits no Light research findings or back-edges.
>- Prepare China software copyright registration material drafts from a real user/operation manual, screenshots when needed, consistency checks and local formal-output evidence. Use for 软著, 软件著作权, 软件版权登记, source-code page extraction, operation manual drafts, version/name consistency, or pre-submit review. This off-DAG engineering/IP handoff skill does not provide legal advice, does not submit applications, does not guarantee registration, and never fabricates source code.
Master guide for using Agent Code effectively. Includes configuration templates, prompting strategies "Thinking" keywords, debugging techniques, and best practices for interacting with the agent.
Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visualisation that requires fine-grained control over visual elements, transitions, or interactions. Use this for bespoke visualisations beyond standard charting libraries, whether in React, Vue, Svelte, vanilla JavaScript, or any other environment.
Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-term (context window), long-term (vector stores), and the cognitive architectures that organize them. Key insight: Memory isn't just storage - it's retrieval. A million stored facts mean nothing if you can't find the right one. Chunking, embedding, and retrieval strategies determine whether your agent remembers or forgets. The field is fragm
Manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).