Skill-uri pentru agenți pe care le poți verifica înainte să le instalezi
Skill-uri SKILL.md publice din depozite GitHub cu peste 50 de stele și de la producători, scanate și evaluate. Instalează oricare dintre ele cu o singură comandă în Claude Code, Cursor, Codex, GitHub Copilot sau Gemini CLI.
49.409 skill-uri din 2.375 de depozite · actualizat acum 5 ore
49.409 skill-uri
- pr-review-fixTencentCloudBase/CloudBase-AI-ToolkitPeriodically analyze open pull requests for CI failures, code review feedback, and quality issues, then fix them in batch. Use this skill when the user asks to check PR status, triage CI failures, fix review comments, analyze open PRs, or run a scheduled PR health check across the repository.InginerieFără avertismente★ 1,2 K↓ —
- app-briefdaveebbelaar/bamaOne-page brief (docs/BRIEF.md) for a new macOS app, written before any code. Use when the user has an app idea, wants to replace an app they pay for, or the research and clone skills are done.ȘtiințăFără avertismente★ 1,5 K↓ —
- env-linthashgraph-online/awesome-codex-pluginsValidate .env files against .env.example without printing valuesAlteleFără avertismente★ 1,5 K↓ —
- improve-loopdaveebbelaar/bamaAutonomous loop that works through docs/STORIES.md one story at a time for a macOS app, building, snapshotting, comparing against reference screenshots, fixing, and committing, until a milestone is done. Use when the user says "keep going", "work through the backlog", "make it match the reference", or wants an unattended improvement loop.AlteleFără avertismente★ 1,5 K↓ —
- audit-decisionsNoudzhng/skillsAudit the decisions an implementing agent made, not its diff — a pure audit that traces the session's history into a decisions ledger, changes no code, and never blocks an unsupervised run. Working code still embeds architecture the user never chose; surface it because future work inherits it. Use when the user wants to review the decisions the AI made on their behalf, before merging or committing AI-implemented work, when integrating a delegated subagent's pass, or when a fix "works" but might be a point fix.PlanificareFără avertismente★ 1,4 K↓ —
- book-inithashgraph-online/awesome-codex-pluginsPhase 0: Onboarding. Define genre, reader, language, scope, and voice; capture the author's voice fingerprint; index source material; generate PRD.md and STYLE.md.PlanificareFără avertismente★ 1,5 K↓ —
- package-healthmohitagw15856/pm-claude-skillsCheck a package's health before you depend on it — npm and PyPI registry APIs via keyless curl: downloads, release recency, maintenance signals, and the dependency-decision read. Use when asked is this npm package maintained, check this PyPI library before we adopt it, compare these two packages, or is this dependency abandoned. Produces the health read with the signals interpreted (not just listed), the numbers with their commands, and the adopt/avoid/vendor recommendation framing.AlteleFără avertismente★ 1,5 K↓ —
- hf-cloud-serving-image-selectionhuggingface/skillsPick the right serving container for a SageMaker model deployment and find its current image URI. Use this skill whenever about to deploy a model to a SageMaker endpoint and an image URI needs to be chosen — including when the user says "deploy this LLM", "host this HuggingFace model", "serve this fine-tuned model", "deploy this embedding model", "host a reranker", "serve a sentence-transformers model", or when about to hardcode any container URI in deployment code. HuggingFace-curated Deep Learning Containers are ALWAYS preferred: HuggingFace vLLM (LLMs and generative rerankers), HuggingFace vLLM-Omni (multimodal), TEI (embeddings/cross-encoder rerankers), HF Inference Toolkit (other transformers). Generic images (AWS vLLM, DJL-LMI, SGLang) are used only when no HuggingFace image is compatible — never merely because they carry a newer version. Never hardcode a container URI from memory and never default to TGI. Prevents stale-image failures and wrong-region URIs.OficialMediaFără avertismente★ 11,3 K↓ —
- planning-with-filesOthmanAdi/planning-with-filesPersistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; lifecycle hooks inject selected project planning context. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent session records and emits aggregate counts only; --replay may emit bounded nonce-framed excerpts. Optional gated mode can request continuation only when the host supports it and never runs commands declared in Markdown. The skill has no network upload path. Use for research or work needing 5+ tool calls.PlanificareFără avertismente★ 27,9 K↓ —
- write-testsdzhng/skillsWrite tests that pin real behavior instead of implementation details, config values, or lucky samples. Use when adding tests for new behavior, writing a regression test, fixing a brittle or flaky test, reviewing a test diff, or when a test breaks after a refactor or config change that didn't change behavior.TestareFără avertismente★ 1,4 K↓ —
- nsdi-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning an NSDI campaign across the spring and fall deadlines — sequencing abstract and paper gates, notification waits, one-shot revision windows, artifact evaluation, and the May symposium — so a networked-systems project always knows which of the two yearly gates it is really building toward.ProductivitateFără avertismente★ 1,4 K↓ —
- podc-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning an ACM PODC campaign end to end — running the single annual cycle backward from the February deadline through abstract registration, lightweight double-blind review, the late-April notification, the May camera-ready, and the arXiv full version — and coordinating the regular-paper-vs-Brief-Announcement decision along the way.ProductivitateFără avertismente★ 1,4 K↓ —
- huggingface-tool-builderhuggingface/skillsUse this skill when the user wants to build tool/scripts or achieve a task where using data from the Hugging Face API would help. This is especially useful when chaining or combining API calls or the task will be repeated/automated. This Skill creates a reusable script to fetch, enrich or process data.OficialInginerieFără avertismente★ 11,3 K↓ —
- gitnexushashgraph-online/awesome-codex-plugins将 GitNexus 作为受控可选代码智能能力接入，用于 brownfield MCP 查询、影响面分析、 detect_changes、多仓分析和更深代码图谱证据。输出必须回落到 `/team-*` 主链和 artifacts。AlteleFără avertismente★ 1,5 K↓ —
- audit-agentsdzhng/skillsAudit or rewrite AGENTS.md so it holds only lasting principles. Run it only when the user asks for it by name; never invoke it on your own.AlteleFără avertismente★ 1,4 K↓ —
- add-cameramicrosoft/power-platform-skillsInternal implementation skill invoked by /add-native for camera, image picker, barcode scanner, QR scanner, and camera/gallery Dataverse artifact workflows.MediaFără avertismente★ 1,1 K↓ —
- launch-videodzhng/skillsMake a showreel-grade motion-graphics launch video, with music, that introduces a CLI, library, or product from its repo. Use when asked for a launch, promo, sizzle, or showreel video, an animated intro for a project, or a video to post on X/social.MediaFără avertismente★ 1,4 K↓ —
- icml-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning or sequencing an ICML manuscript workflow end to end - from topic selection and drafting through OpenReview submission, double-blind review, author response, camera-ready, PMLR publication, public original-submission release, and rerouting decisions. Use when you need the next ICML skill, the official page to reopen, or the blocking gap for the current stage.ProductivitateFără avertismente★ 1,4 K↓ —
- hep-cloudagentlas-ai/Agentlas-OSStaff a task only from the signed-in owner's Agent Cloud agents.ProductivitateFără avertismente★ 1,6 K↓ —
- stoc-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning a STOC (ACM Symposium on Theory of Computing) project calendar — backward planning to the early-November deadline, the STOC/FOCS alternating two-deadline year that theory groups schedule around, full-version and camera-ready milestones, and the June TheoryFest endpoint.ProductivitateFără avertismente★ 1,4 K↓ —
- capturealirezarezvani/claude-skillsUse whenever the user unloads a messy brain dump of ideas, tasks and plans ('capture this', 'brain dump', a long unstructured paste) and wants it organized. Sorts it with dump_classifier.py into projects, tasks and connections with nothing lost.PlanificareFără avertismente★ 29,2 K↓ —Apare și în 1 alt depozit
- gentle-ai-skill-improverGentleman-Programming/gentle-shellTrigger: improve skills, audit skills, refactor skills, skill quality. Audit and upgrade existing LLM-first skills.InginerieFără avertismente★ 1,5 K↓ —
- okr-designrampstackco/claude-skillsOKR design as actually shipped, not as conference-talk theory. Outcome statements that drive decisions, key results that measure the right thing, scoring discipline, mid-quarter recalibration, and the difference between sandbagged OKRs (always 100%) and aspirational OKRs (always 30%) and stretch OKRs (genuine ambition with quarterly accountability). Triggers on OKR design, OKR setting, key result design, OKR scoring, mid-quarter recalibration, OKR cascading, outcomes vs outputs, quarterly planning, goal setting. Also triggers when a team's OKRs are always hit and producing no learning, when OKRs are demoralizing because they were set as fantasy, or when the team uses OKR vocabulary but the practice has decayed.DesignFără avertismente★ 1 K↓ —
- ux-researchrampstackco/claude-skillsPlan and execute user research including research planning, recruiting, interview design, qualitative synthesis, and translating findings into product decisions. Use this skill whenever the user wants to plan user research, design interviews, recruit participants, conduct discovery, run formative research, or synthesize qualitative findings. Triggers on user research, UX research, user interviews, discovery research, generative research, formative research, qualitative research, user insights, research synthesis, recruitment, interview guide, jobs to be done. Also triggers when product decisions are being made without user input and the user wants to fix that.DesignFără avertismente★ 1 K↓ —
agentlas-auto-activation
agentlas-ai/Agentlas-OS
ProductivitateActualizat acum 14 ore
De la autor
Use when adding or auditing local runtime behavior that turns a project folder into an Agentlas-aware workspace with .agentlas memory and sitemap files.
Instalare
npx skills add agentlas-ai/Agentlas-OS --skill agentlas-auto-activation -a claude-code
Se instalează în .claude/skills/agentlas-auto-activation/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Descarcă .zip
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
La ce are acces
Doar instrucțiuniNu am văzut acces la rețeaLicență: APACHE-2.0
Verificări de siguranță pe SKILL.md
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De ce 88
Securitate100
Proveniență78
Întreținere100
Licență100
Adopție52
Fișiere (1)
- SKILL.md