Use when long-lived agents, project memories, system prompts, or playbooks are repeatedly summarized, rewritten, or optimized and risk losing domain detail, provenance, or execution learnings.
中文简介正在准备中。当前显示原文说明。
Execute git commit with conventional commit message analysis, intelligent staging, and message generation. Use when user asks to commit changes, create a git commit, or mentions "/commit". Supports: (1) Auto-detecting type and scope from changes, (2) Generating conventional commit messages from diff, (3) Interactive commit with optional type/scope/description overrides, (4) Intelligent file staging for logical grouping
中文简介正在准备中。当前显示原文说明。
查看安装方法安装前可以查看交给 AI 代理的指令内容。
Attribution: Sourced from github/awesome-copilot by GitHub Community, licensed MIT. Modified for this collection.
Create standardized, semantic git commits using the Conventional Commits specification. Analyze the actual diff to determine appropriate type, scope, and message.
<type>[optional scope]: <description>
[optional body]
[optional footer(s)]
| Type | Purpose |
|---|---|
feat | New feature |
fix | Bug fix |
docs | Documentation only |
style | Formatting/style (no logic) |
refactor | Code refactor (no feature/fix) |
perf | Performance improvement |
test | Add/update tests |
build | Build system/dependencies |
ci | CI/config changes |
chore | Maintenance/misc |
revert | Revert commit |
# Exclamation mark after type/scope
feat!: remove deprecated endpoint
# BREAKING CHANGE footer
feat: allow config to extend other configs
BREAKING CHANGE: `extends` key behavior changed
# If files are staged, use staged diff
git diff --staged
# If nothing staged, use working tree diff
git diff
# Also check status
git status --porcelain
If nothing is staged or you want to group changes differently:
# Stage specific files
git add path/to/file1 path/to/file2
# Stage by pattern
git add *.test.*
git add src/components/*
# Interactive staging
git add -p
Never commit secrets (.env, credentials.json, private keys).
Analyze the diff to determine:
# Single line
git commit -m "<type>[scope]: <description>"
# Multi-line with body/footer
git commit -m "$(cat <<'EOF'
<type>[scope]: <description>
<optional body>
<optional footer>
EOF
)"
Closes #123, Refs #456还没有评价。欢迎分享你的使用感受。
无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。
还没有评论。来写第一条吧。
Use when long-lived agents, project memories, system prompts, or playbooks are repeatedly summarized, rewritten, or optimized and risk losing domain detail, provenance, or execution learnings.
中文简介正在准备中。当前显示原文说明。
Use this skill when the user explicitly asks to map, document, or onboard into an existing codebase. Trigger for prompts like "map this codebase", "document this architecture", "onboard me to this repo", or "create codebase docs". Do not trigger for routine feature implementation, bug fixes, or narrow code edits unless the user asks for repository-level discovery.
中文简介正在准备中。当前显示原文说明。
Adds educational comments to a code file so it becomes a learning resource, asking for the file (with a list of close matches) if none is given. Use when preparing code for learners, onboarding, or teaching.
中文简介正在准备中。当前显示原文说明。
Write, debug, and optimize Adobe Illustrator automation scripts using ExtendScript (JavaScript/JSX). Use when creating or modifying scripts that manipulate documents, layers, paths, text frames, colors, symbols, artboards, or any Illustrator DOM objects. Covers the complete JavaScript object model, coordinate system, measurement units, export workflows, and scripting best practices.
中文简介正在准备中。当前显示原文说明。
Patterns and techniques for adding governance, safety, and trust controls to AI agent systems. Use this skill when: - Building AI agents that call external tools (APIs, databases, file systems) - Implementing policy-based access controls for agent tool usage - Adding semantic intent classification to detect dangerous prompts - Creating trust scoring systems for multi-agent workflows - Building audit trails for agent actions and decisions - Enforcing rate limits, content filters, or tool restrictions on agents - Working with any agent framework (PydanticAI, CrewAI, OpenAI Agents, LangChain, AutoGen)
中文简介正在准备中。当前显示原文说明。
Check any AI agent codebase against the OWASP Agentic Security Initiative (ASI) Top 10 risks. Use this skill when: - Evaluating an agent system's security posture before production deployment - Running a compliance check against OWASP ASI 2026 standards - Mapping existing security controls to the 10 agentic risks - Generating a compliance report for security review or audit - Comparing agent framework security features against the standard - Any request like "is my agent OWASP compliant?", "check ASI compliance", or "agentic security audit"
中文简介正在准备中。当前显示原文说明。