Agent skills you can check before you install
Public SKILL.md skills from GitHub repositories with 50+ stars and from the vendors themselves, scanned and scored. Install any of them with one command in Claude Code, Cursor, Codex, GitHub Copilot or Gemini CLI.
48,622 skills from 2,355 repositories · updated 17 hours ago
48,622 skills
- changelogNewwesammustafa/Claude-Code-Everything-You-Need-to-KnowAdds a one-line entry for the staged changes to CHANGELOG.md. Use when the user asks for a changelog entry.OtherNo warnings★ 3.5K↓ —
- doca-flow-tuneNVIDIA/skillsUse this skill when the user is tuning a live or captured `doca-flow` pipeline with `doca_flow_tune` — snapshotting pipe / counter / KPI state, picking a tuning axis (rule placement, resource hints / table sizing, HW-offload mode) and a matching measurement (rule-install rate, lookup latency, hardware-counter delta), running offline or online (read-only or state-changing) modes, reading the dumper CSV / analyze JSON / visualize mermaid, or applying a recommendation back into the Flow program. Trigger even when the user does not explicitly mention "doca_flow_tune" — typical implicit phrasings include "Flow rule-install rate is low on BlueField", "table sizing looks wrong for this pipe", "tune visualize step is empty", "before/after counters don't move", or "which doca-flow knob does this recommendation hit". Refuse and route elsewhere for writing the doca-flow application, DOCA install, or streaming Flow telemetry — those belong to other skills.DataNo warnings★ 3.8K↓ —
- tao-finetune-clipNVIDIA/skillsCLIP vision-language model for image-text retrieval, zero-shot classification, embedding extraction, ONNX export, and TensorRT deployment. Use when fine-tuning or training CLIP, running zero-shot classification, computing image embeddings, or deploying CLIP to ONNX/TensorRT. This is a single-action model skill; do not use it for an iterative weak-attribute improvement loop that keeps retraining and evaluating until progress stops, which belongs to tao-run-deft-pas.DevOpsNo warnings★ 3.8K↓ —
- anima-debug-bundlejeremylongshore/tons-of-skills-marketplaceCollect Anima SDK debug evidence for support tickets and troubleshooting. Use when filing Anima support requests, debugging code generation issues, or collecting diagnostic data for the Anima team. Trigger with: "anima debug bundle", "anima support ticket", "anima diagnostics".EngineeringNo warnings★ 2.9K↓ —
- cdf-simulationNVIDIA/skillsComponent-owned guidance for CDF Simulation requests submitted directly or through Airflow-triggered DIG Flow Catalog prompts — golden THT board, THT pin-geometry variation, good/clean SMT images, structural pose defects, and solder texture defects, from a board USD. Turns one matched prompt into one validated `cdf.CDFJob` build and its compiled JobOrder payload; it never executes a render itself. Requires a caller-supplied board USD and output root, asks for either when missing from an interactive request, and resolves optional details with fixed, documented defaults.MediaNo warnings★ 3.8K↓ —
- comment-checkercode-yeongyu/oh-my-openagentUse when Codex needs to understand or respond to automatic comment-checker feedback emitted after an edit-like PostToolUse hook.WritingNo warnings★ 70.6K↓ —
- in-your-own-wordsmichael-denyer/pstack-claudeRestate in your own words what you think the user's goals are and what problem they're trying to solve. Use for /in-your-own-words.OtherNo warnings★ 3.7K↓ —
- paid-ads-linkedinnowork-studio/notfair-pluginAudit, diagnose, plan, and safely operate connected LinkedIn Ads accounts through the NotFair MCP, with an export-based fallback. Use for LinkedIn advertising, sponsored content, lead-generation forms, job-title or company targeting, campaign groups, creatives, conversions, lead quality, budgets, bids, or approved LinkedIn campaign changes.MarketingNo warnings★ 4.1K↓ —
- doca-flowNVIDIA/skillsDOCA Flow packet steering on NVIDIA NICs/DPUs, linked into a C application: match/action pipes, ports, representors, forwarding, hairpin, counters. Trigger on packet steering, classifier, rule-matching, representor, hairpin or 5-tuple-to-queue questions even when "DOCA Flow" is not named. Also covers pipe validation before hardware programming, Flow/DOCA version match, and Flow API errors. First app: follow the local bundle (doca-setup, doca-programming-guide, doca-flow, doca-public-knowledge-map). Stage 1 pull nvcr.io/nvidia/doca/doca (NGC catalog tag, never invent); Stage 2 needs a real NIC. Then ls samples inside the container; never emit main.c, a Dockerfile, or hand-typed -l flags. Route software-only host pipelines, plain DPDK `rte_flow`, kernel TC, OVS, BFB bring-up, and DPU OS installation elsewhere. DPU OS installation is destructive and always requires explicit confirmation.EngineeringNo warnings★ 3.8K↓ —
- video-highlightsZJU-REAL/Easel长视频 / 直播录像高光切片：从一条长视频里找出高光片段，切成多条独立短视频，可选转竖版 9:16 + 加字幕。找点两种方式——音频能量峰值（情绪高涨/欢呼/大声处）或转录后由内容判断挑金句段。当用户说 直播切片、高光切片、长视频切短、录像剪精华、切片、高光时刻、把直播剪成短视频、提取精彩片段、长视频找亮点 时使用。基于 shared/scripts/highlight_cut.py（librosa 能量分析）。与 clipify 区别：clipify 专做英文口播找笑点+动态人脸pan，本 SKILL 更通用（中文/直播皆可）、静态转竖版更稳。MediaNo warnings★ 4.3K↓ —
- hypothesis-generationforyourhealth111-pixel/Vibe-SkillsStructured hypothesis formulation from observations. Use when you have experimental observations or data and need to formulate testable hypotheses with predictions, propose mechanisms, and design experiments to test them. Also owns explicit HypoGeniC-style or automated LLM-driven hypothesis generation/testing requests inside this single skill. For open-ended ideation use scientific-brainstorming.TestingNo warnings★ 3.8K↓ —
- principle-type-system-disciplinebacknotprop/pstackApply when designing types, reviewing a function signature, or writing code in any statically-typed language. Make illegal states unrepresentable, brand semantic primitives, parse external data at boundaries, exhaust variants, derive from authoritative schemas.WritingNo warnings★ 3.3K↓ —
- kiro-discoverygotalab/cc-sddEntry point for new work. Determines the best action path or work decomposition (update existing spec, create new spec, mixed decomposition, or no spec needed) and refines ideas through structured dialogue.PlanningNo warnings★ 3.7K↓ —
- doc-convertZJU-REAL/Easel把 Markdown 文稿排版并转换为 HTML、可打印 PDF 或长图 PNG。当用户说“Markdown/MD 转 HTML/PDF/图片、文章导出长图、MD 排版/渲染”时使用。仅处理 Markdown；DOCX/PPT 不在范围内，层级大纲转脑图用 mindmap。DocumentsNo warnings★ 4.3K↓ —
- thermosmichael-denyer/pstack-claudeLaunch both thermo-nuclear review subagents in parallel, then synthesize their findings. Use for thermos, double thermo review, or combined bug/security and code-quality branch audits.SecurityNo warnings★ 3.7K↓ —
- comprehensive-research-agentforyourhealth111-pixel/Vibe-SkillsEnsure thorough validation, error recovery, and transparent reasoning in research tasks with multiple tool callsScienceNo warnings★ 3.8K↓ —
- guidelines-advisortrailofbits/skillsSmart contract development advisor based on Trail of Bits' best practices. Analyzes codebase to generate documentation/specifications, review architecture, check upgradeability patterns, assess implementation quality, identify pitfalls, review dependencies, and evaluate testing. Use when asking whether a smart contract project follows development best practices, reviewing on-chain/off-chain split, upgradeability, or delegatecall proxy patterns against guidelines, or seeking recommendations on contract design, inheritance, events, documentation, dependencies, or test strategy.TestingNo warnings★ 7.9K↓ —
- babysitmichael-denyer/pstack-claudeWatch an open PR — fix failing CI, handle the straightforward review comments, and drive it to a mergeable state. Claude Code analog of Cursor's built-in /babysit. Use after opening a PR when the user wants the agent to shepherd it without re-prompting.EngineeringNo warnings★ 3.7K↓ —
- kiro-discoverygotalab/cc-sddEntry point for new work. Determines the best action path or work decomposition (update existing spec, create new spec, mixed decomposition, or no spec needed) and refines ideas through structured dialogue.PlanningNo warnings★ 3.7K↓ —
- llm-wikiAr9av/obsidian-wikiExplain and apply the foundational LLM Wiki architecture and knowledge-management strategy. Use for setup, architecture, schema, or organization decisions; operational ingest/query/lint work uses dedicated skills.PlanningNo warnings★ 3.6K↓ —
- short-drama-image-promptszenstory-ai/drama-skills为短剧人物、造型、地点、道具和状态编写或修改可直接复制的图片提示词 Markdown。用户提到角色设定图、三视图、参考图、场景板、道具图、风格帧、Look Development、状态变体或局部编辑提示词时使用；不生成图片，也不调用供应商。MediaNo warnings★ 3.6K↓ —Also in 1 other repo
- provider-configurationhashicorp/agent-skillsImplement Terraform provider configuration and authentication with the Plugin Framework: provider schema for credentials (Optional + Sensitive attributes), environment variable fallbacks, credential provider chains (static config, then environment variables, shared credentials file, and platform identity), unknown-value guards in Configure(), secret redaction, configure-time credential validation, and diagnostics that name every source tried. Use when implementing or reviewing a provider's Configure method or provider schema, adding authentication options (API keys, tokens, profiles, credentials files, assume-role), deciding how a provider should resolve credentials, debugging "no valid credential sources" or missing-credentials errors, or unit testing credential resolution.OfficialTestingNo warnings★ 911↓ —
- provider-test-patternshashicorp/agent-skillsTerraform provider acceptance test patterns using terraform-plugin-testing with the Plugin Framework. Covers test structure, TestCase/TestStep fields, ConfigStateChecks with custom statecheck.StateCheck implementations, plan checks, CompareValue for cross-step assertions, config helpers, import testing with ImportStateKind, sweepers, and scenario patterns (basic, update, disappears, validation, regression), and ephemeral resource testing with the echoprovider package. Use when writing, reviewing, or debugging provider acceptance tests, including questions about statecheck, plancheck, TestCheckFunc, CheckDestroy, ExpectError, import state verification, ephemeral resources, or how to structure test files.OfficialTestingNo warnings★ 911↓ —
- baoyu-wechat-summaryJimLiu/baoyu-skillsSummarizes WeChat group chat highlights into a structured digest using the local wx-cli binary (https://github.com/jackwener/wx-cli). Generates a normal digest by default; a roast (毒舌) version is opt-in. Maintains per-group history (history.json + history-digests.jsonl), per-user profiles, and per-group fact memory (memory.md) across runs, with privacy guardrails baked in. Use when the user asks to "总结群聊", "群聊精华", "群聊摘要", "summarize group chat", "group chat digest", mentions a WeChat group name with a time range, says "帮我看看 XX 群最近聊了什么", "XX 群有什么值得看的", or asks to "回溯画像" / "初始化画像" / "backfill profiles". Adds the roast version when the user says "毒舌版", "roast 版", "再来个毒舌的", or similar.ProductivityNo warnings★ 27.1K↓ —
interrogate
backnotprop/pstack
TestingUpdated 4 days ago
From the author
Use for "interrogate", "adversarial review", "multi-model review", "challenge this", "stress test this code", "find blind spots", or "tear this apart". Adversaries try to break a change or design, and only findings proven by a run survive.
Install
npx skills add backnotprop/pstack --skill interrogate -a claude-code
Installs to .claude/skills/interrogate/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Download .zip
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
What it can touch
Instructions onlyNo network use seenLicence: MIT
Safety checks on SKILL.md
No warnings.
Why 90
Security100
Provenance82
Maintenance100
Licence100
Adoption56
Files (1)
- SKILL.md