GITHUB AGENT SKILLS / 技能收录
给你的 AI 助手
装上专业技能
我们从 GitHub 持续收录、审核并分类优质的 Agent Skills，按职业与使用场景整理，复制一行命令即可安装到 Claude Code、Cursor 等智能体。
按职业浏览 Agent Skills
为不同岗位挑选的高频技能
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从你要完成的任务出发
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按 GitHub Stars 排序的优秀创作者
Microsoft
@microsoft
openclaw
@openclaw
OpenAI
@openai
The Apache Software Foundation
@apache
GitHub
@github
Anthropic
@anthropics
AutoGPT
@Significant-Gravitas
Garry Tan
@garrytan全部 Skills 196852
wds-agent-saga-analyst
Strategic business analyst and product discovery partner for WDS. Use when the user asks to talk to Saga or requests the WDS analyst.
social-find-post
Use when the user wants to find, recall, or locate a specific social-media post, reel, or saved/bookmarked item across Instagram (saved collections, feed, search) or Facebook (feed/profile). Pairs with the social-media-toolchain MCPs.
social-dm-search
Use when the user wants to search, read, or recall direct messages and chats across Instagram DMs, Facebook Messenger group/room/page threads, or WhatsApp chats (proof-of-concept, off by default). Pairs with the social-media-toolchain MCPs.
wds-agent-freya-ux
Strategic UX designer and design thinking partner for WDS. Use when the user asks to talk to Freya or requests the WDS designer.
social-corpus-extraction
Use when building a personal writing/style corpus from a user's OWN messages and posts across Discord, Facebook posts + comments, Facebook Messenger, and WhatsApp — isolating only the owner's authored text, then folding every source into one deduplicated jsonl corpus. Handles the traps that silently break these extractions: the Meta DYI double-encoded-UTF-8 mojibake, the 4-way Facebook post-path drift, WhatsApp-DYI-has-no-message-bodies, and locale-dependent title strings. NOT for scraping other people's content, NOT a live-API social client (see social-media-toolchain), NOT for one specific person's hardcoded identity — every script takes the owner identity by argv/env.
wds-8-product-evolution
Brownfield improvements — the full WDS pipeline in miniature for existing products
smallest-check-ladder
Use when you need to run "the smallest test that could still catch this change" instead of blindly running the whole suite (or nothing). Provides an invocable L0 to L3 ladder - L0 lint the edited file, L1 impacted tests via deterministic selectors, L2 full suite via longrun, L3 e2e - so a "tests pass" claim is backed by a proportionate check. Never ML "predictive test selection".
wds-7-design-system
Create, import, browse, and maintain design system components and tokens
slop-check
Use when the user asks if text or an image is AI-generated, to clean AI artifacts or invisible characters, or to score readability (Flesch-Kincaid) via Slop or Not Pro on-device tools (macOS only) ; do NOT use for rewriting or humanizing text (use agentic-humanizer or humanizer) ; returns AI-detection verdict, cleaned text, or readability grade.
slides
Create and edit presentation slide decks (`.pptx`) with PptxGenJS, layout helpers, and render/validation utilities. Use when building a new PowerPoint deck, recreating slides from screenshots/PDFs/reference decks, modifying slide content while preserving editable output, adding charts/diagrams/visuals, or diagnosing layout issues like overflow, overlaps, and font substitution.
wds-6-asset-generation
Generate visual and text assets from specifications through AI-powered creative production
skill-tree-reconcile
Use when asked to sync skills, reconcile skill trees, deploy skills to live, choose which tree wins, compare live vs vault vs repo, run sync-from-live, or repair drift - classifies differences and applies a human-reviewed direction.
skill-stocktake
Use when auditing Claude skills and commands for quality. Supports Quick Scan (changed skills only) and Full Stocktake modes with sequential subagent batch evaluation.
skill-scout
Search local, marketplace, GitHub and web sources before creating a new skill. Use when the user wants to find, fork or build one. NOT for authoring it (use writing-skills).
wds-5-agentic-development
AI-assisted development, testing, and reverse engineering through structured agent collaboration
simplest-probe-first
Use BEFORE committing to any expensive or multi-step approach (vision/OCR pipeline, multi-agent fan-out, live RE, big rewrite, long orchestration). Run the cheapest deterministic diagnostic FIRST to check whether a simpler path works. Prevents the waste where hours go into a heavy pipeline a one-command check would have ruled out (e.g. a 10-hour vision run on a PDF with no text layer).
silence-trim
Use when removing long silences / dead air / filler-pauses from a TALKING video to produce a tight, jump-cut style edit (podcast, vlog, lecture, screen recording, talking-head short). Detects silent spans with ffmpeg `silencedetect` (noise floor in dB + a minimum silence duration), inverts them to KEEP spans leaving a small pad on each edge so cuts don't sound clipped, then re-cuts frame-accurately with a `trim`/`atrim` + `concat` filter_complex — and re-times caption cues onto the compacted timeline so subtitles don't drift late after every removed gap. Do NOT use for: removing background noise while keeping length (that's denoise/filtering, not trimming); music tracks or ambient/B-roll with no speech (everything reads as "silence" and you gut the clip — or as "loud" and nothing cuts); VAD-grade speech/non-speech where the noise floor is high (silencedetect is amplitude-only, not a voice classifier); or audio-event scoring (laughter/applause salience — that's the PANNs audio_saliency path, a different module). Source of truth: sidecar/media_studio/features/silencetrim.py.
sentry
Use when the user asks to inspect Sentry issues or events, summarize recent production errors, or pull basic Sentry health data via the Sentry API; perform read-only queries with the bundled script and require `SENTRY_AUTH_TOKEN`.