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. 86 696 files from 2 113 authors, of which 68 413 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.
Connect design decisions to business outcomes through competitive analysis, opportunity mapping, Jobs to Be Done, outcome-driven discovery, value proposition design, and UX metrics. Shape product direction with strategic frameworks grounded in evidence.
Create user-centered, accessible interface copy (microcopy) for digital products including buttons, labels, error messages, notifications, forms, onboarding, empty states, success messages, and help text. Use when writing or editing any text that appears in apps, websites, or software interfaces, designing conversational flows, establishing voice and tone guidelines, auditing product content for consistency and usability, reviewing UI strings, or improving existing interface copy. Applies UX writing best practices based on four quality standards — purposeful, concise, conversational, and clear. Includes accessibility guidelines, research-backed benchmarks (sentence length, comprehension rates, reading levels), expanded error patterns, tone adaptation frameworks, and comprehensive reference materials.
Extract PDFs to text and images before reading
>- Implement RLM-style (Recursive Language Model) orchestration for complex tasks. This skill should be used when facing large context requirements, multi-part tasks that would benefit from parallel execution, or when context rot is a concern. Automatically decomposes tasks, spawns parallel subagents, aggregates results,
Advanced python-docx patterns for handling nested tables, complex cell structures, and content extraction beyond basic .text property. Complements the official docx skill with specialized techniques for forms, checklists, and complex layouts.
Activate autonomous Ralph Wiggum loop mode for iterative task completion. Use when you have a well-defined task with clear completion criteria that benefits from persistent, autonomous execution.
Use when creating or editing documents (DOCX, PDF, XLSX, PPTX) that need professional output. Adds visual verification, typography hygiene, and formula patterns to the document-skills plugin.
Use when brainstorming a product or feature where multiple valid technology choices exist and the wrong one is costly, when the user asks for 'objectively best' or 'highest quality', or when the domain has tools/frameworks where marketing or popularity biases could mislead research agents. Also use when starting architecture decisions, evaluating tech stacks, or when the user mentions bias, vendor lock-in, hallucinated benchmarks, or wants research-backed decisions rather than default recommendations.
>- before starting a new phase, when vision drift is suspected, or every 3-5 sessions. Triggers include user saying retro, run a retro, since-last-retro; asks to analyze patterns, recurring mistakes, or correction trends across multiple sessions; says how did we get here or project history in a project-arc context (not single-file diffs or README edits); or notes that MEMORY.md has drifted from what actually happened across sessions. NOT for single-session review, MEMORY.md cleanup, retro templates, or git-level file diffs.
Use when adding/editing/querying content in an existing Obsidian vault, configuring plugins, integrating Claude Code with Obsidian via Local REST API or CLI, automating ongoing capture/organization/retrieval, designing a personal knowledge management workflow, OR building academic study vaults (course prep, exam-ready, mock-exam content — the durable academic-study patterns from a deprecated companion skill have been folded into this one).
Use when creating or editing documents (DOCX, PDF, XLSX, PPTX) that need professional output. Adds visual verification, typography hygiene, and formula patterns.
Translate structured documents (DOCX) to RTL languages (Arabic, Hebrew, Urdu) while preserving exact formatting, table structures, colors, and layouts. Handles quote normalization, multi-pass translation matching, and RTL-specific formatting patterns.
Advanced python-docx patterns for nested tables, complex cells, and content extraction beyond .text property. Techniques for forms, checklists, and complex layouts.
Fill DOCX template forms preserving 100% original structure - logos, footers, styles, metadata. Zero-artifact insertion. Output indistinguishable from manual entry.
Translate DOCX to RTL languages (Arabic, Hebrew, Urdu) preserving exact formatting, tables, colors, layouts. Handles quote normalization and multi-pass matching.
Jinja2 templates + CSS + data contract for TweakIdea evaluation reports
Python scripts for fetching a single HN post (hnparse.py) and searching HN posts via Algolia (hnsearch.py)
Founder profile template, creation questions, section definitions, and fit question guidance for TweakIdea evaluations
TweakIdea 14-dimension startup evaluation framework with scoring rubrics and signal tables
Architectural patterns, Entity ORM, Minimal APIs and dependency injection for projects created with Dext Framework (cesarliws/dext).
Delphi code review checklist — quality, security, performance, SOLID, memory
Implementation of the 23 GoF (Gang of Four) patterns in Object Pascal / Delphi with interfaces, TInterfacedObject and SOLID principles. Covers Creational, Structural and Behavioral patterns.
Standards for using DevExpress (DEXT) components in Delphi VCL applications
Good memory management practices, memory leak prevention and exception handling in Delphi
Pragmatic clean code standards for Delphi — concise, direct, no over-engineering
SOLID implementation patterns for Delphi projects — Repository, Service, Factory, Strategy with constructor injection and interfaces
Development patterns with PostgreSQL via FireDAC — connection, PL/pgSQL, sequences, JSONB, UPSERT, full-text search, migrations
Unit testing patterns with DUnitX for Delphi — fixtures, mocking, integration tests
Refactoring techniques for Object Pascal focused on improving readability, removing code smells, and preserving behavior through practices like Extract Method, Guard Clauses, and polymorphism.
Patterns for development with DelphiMVCFramework (DMVC) — controllers, Active Record, JWT, Swagger
Guides and standards for using the Intraweb stateful web framework in Delphi projects.
Patterns for developing REST APIs with Horse framework in Delphi
Development patterns with Firebird database via FireDAC — connection, PSQL, generators, transactions, migrations
Development patterns with MySQL/MariaDB via FireDAC — connection, stored procedures, AUTO_INCREMENT, JSON, triggers, replication, migrations
Guidelines on how the AI should act and code when the user requests TDD, unit tests, DUnitX or fakes/mocks using Interfaces in Delphi.
Pragmatic clean code standards for Delphi — concise, direct, no over-engineering
Threading patterns in Delphi — TThread, TTask, TParallel, Synchronize, Queue, thread-safety, Producer-Consumer, pools, cancellation and debugging
Good memory management practices, memory leak prevention and exception handling in Delphi
Delphi code review checklist — quality, security, performance, SOLID, memory
SOLID implementation patterns for Delphi projects — Repository, Service, Factory, Strategy with constructor injection and interfaces
Implementation of the 23 GoF (Gang of Four) patterns in Object Pascal / Delphi with interfaces, TInterfacedObject and SOLID principles. Covers Creational, Structural and Behavioral patterns.
Standards for using DevExpress (DEXT) components in Delphi VCL applications
Unit testing patterns with DUnitX for Delphi — fixtures, mocking, integration tests
Architectural patterns, Entity ORM, Minimal APIs and dependency injection for projects created with Dext Framework (cesarliws/dext).
Patterns for development with DelphiMVCFramework (DMVC) — controllers, Active Record, JWT, Swagger
Patterns for developing REST APIs with Horse framework in Delphi
Guides and standards for using the Intraweb stateful web framework in Delphi projects.
Development patterns with Firebird database via FireDAC — connection, PSQL, generators, transactions, migrations
Development patterns with MySQL/MariaDB via FireDAC — connection, stored procedures, AUTO_INCREMENT, JSON, triggers, replication, migrations
Development patterns with PostgreSQL via FireDAC — connection, PL/pgSQL, sequences, JSONB, UPSERT, full-text search, migrations
Refactoring techniques for Object Pascal: Extract Method, Extract Class, Guard Clauses, Replace Magic Numbers, Replace Conditional with Polymorphism, Introduce Parameter Object, Remove With, Extract Interface. Always focusing on maintaining behavior and improving readability.
Guidelines on how the AI should act and code when the user requests TDD, unit tests, DUnitX or fakes/mocks using Interfaces in Delphi.
Threading patterns in Delphi — TThread, TTask, TParallel, Synchronize, Queue, thread-safety, Producer-Consumer, pools, cancellation and debugging
Use when user requests diagrams, flowcharts, sequence diagrams, class diagrams, component diagrams, ER diagrams, architecture charts, or visualizations — including generating a diagram from existing source code, or rendering/extracting PlantUML embedded in a Markdown file to images (e.g. preparing docs for Confluence/Notion). Also use proactively when explaining systems with 3+ components, APIs, data flows, or class hierarchies. Generates .puml files and exports to PNG/SVG via Kroki API (no local install required).
根据用户描述生成高质量绘图 prompt,并按通用、roadmap、schematic 模式调用 gpt-image-2 或 Nano Banana/Gemini 图片模型 API;gpt-image-2 默认使用低画质、原生尺寸和 JPEG,第 2 轮起基于上一轮图片做保真微调。
当用户明确要求"测试代码"、"运行代码审查"或"进行代码自检"时使用。通过多轮 A 轮批判性代码审查 + B 轮代码质量原则检查,系统化发现、记录、修复程序代码中的问题,并将计划/过程/结果统一沉淀到目标代码根目录的 `.bensz-api/task-{yyyymmdd-hhmm}-{简短描述}/auto-test-code/{yyyy-mm-dd-hh-mm}/output/tests/` 隔离工作区。⚠️ 不适用:用户只是想优化功能(应直接修改)、只是询问代码问题(应直接回答)、没有明确"测试代码"意图。
当用户明确要求"使用 brainstorming"或"使用 awesome-code"时使用。⚠️ 不适用:用户只是想优化/改进某个功能(应直接修改)、只是询问技能问题(应直接回答)、没有明确使用 brainstorming/awesome-code 的一般性开发。
当用户明确要求"测试技能"、"运行 auto-test"或"进行批判性测试"时使用。通过多轮 A 轮批判性测试 + B 轮质量原则检查,系统化发现、记录、修复问题,并沉淀可追溯的 `.bensz-api/task-{yyyymmdd-hhmm}-{简短描述}/auto-test-skill/output/plans/` 与 `.bensz-api/task-{yyyymmdd-hhmm}-{简短描述}/auto-test-skill/output/tests/` 文档。⚠️ 不适用:用户只是想优化功能(应直接修改)、只是询问技能问题(应直接回答)、没有明确"测试"意图。
Use when completing tasks, implementing major features, or before merging to verify work meets requirements - reviews implementation against plan or requirements with severity分级(Critical/Important/Minor). NO MERGE WITHOUT CODE REVIEW FIRST.
当用户明确要求"使用 awesome-code / 多代理协作 / 并行协调开发"时使用。通过脚本收集可用 Agent 摘要、配置约束与 `dispatch_gate`,再由 AI 自主判断 single-pass / focused-agent / parallel / sequential 策略并选择子代理;当配置中的 required route agent 缺失时必须阻塞继续执行。⚠️ 不适用:用户仅需单一角色的简单修改或咨询、用户未明确表达多代理协作意图、用户只是了解技能概念。
Answers built from the skills we actually parsed.