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.
49.404 skill-uri din 2.375 de depozite · actualizat acum 20 de minute
49.404 skill-uri
- product-researchalirezarezvani/claude-skillsUse when planning or synthesizing user research: choosing the method, deciding how many participants, or turning coded notes into insights. Runs study_designer.py, saturation_planner.py and insight_synthesizer.py, which refuses single-source insights.ȘtiințăFără avertismente★ 29,2 K↓ —
- hep-uploadagentlas-ai/Agentlas-OSPublish an Agentlas package to Agent Cloud or the public Hub.AlteleFără avertismente★ 1,6 K↓ —
- setupfcakyon/claude-codex-settingsThis skill should be used when user encounters "Tavily MCP error", "Tavily API key invalid", "web search not working", "Tavily failed", or needs help configuring Tavily integration.InginerieFără avertismente★ 1,2 K↓ —
- mdr-745-specialistalirezarezvani/claude-skillsUse for EU MDR 2017/745 work: device classification under Annex VIII, technical file gaps (Annex II/III), clinical evaluation, PMS and PSUR cadence, notified body prep. Checks the file with mdr_gap_analyzer.py.PlanificareFără avertismente★ 29,2 K↓ —
- render-song-mvgooseworks-ai/goose-skillsAssemble a song-driven music-video ad from a config — a generated sung track carries the whole narration across N tableaux (one keyframe -> one i2v clip per lyric beat) with NO separate voiceover, captions synced to the song's OWN word timings (script-window, never Whisper) and the hook word landing on the chorus drop, closed on a PIL brand end card. This is the FREE deterministic assembly stage (clip cut-to-timeline + captions + end card + FFmpeg composite); the song, keyframes, and clips come from create-music-elevenlabs / create-image-fal / create-video-fal. Use for the song-driven-music-video format.MediaFără avertismente★ 1,3 K↓ —
- ab-test-readoutmohitagw15856/pm-claude-skillsAnalyse a finished A/B test and write the readout — the result, whether it's statistically and practically significant, what it means, and the ship/no-ship call. Use when asked to analyse experiment results, write an A/B test readout, interpret test data, or decide whether to ship a variant. Produces a clear verdict with the lift and confidence, segment cuts, the risks (peeking, novelty, sample), and a recommendation. Distinct from planning a test — this reads results.TestareFără avertismente★ 1,5 K↓ —
- planning-with-filesActualizatOthmanAdi/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↓ —
- agentlas-auto-activationagentlas-ai/Agentlas-OSUse when adding or auditing local runtime behavior that turns a project folder into an Agentlas-aware workspace with .agentlas memory and sitemap files.ProductivitateFără avertismente★ 1,6 K↓ —Apare și în 1 alt depozit
- agentlas-stormagentlas-ai/Agentlas-OSRun a force-robust Stormbreaker loop — route to real agents, execute a verified pipeline to completion.AlteleFără avertismente★ 1,6 K↓ —
- rag-design-docmohitagw15856/pm-claude-skillsDesign a Retrieval-Augmented Generation system end to end. Use when asked to design a RAG pipeline, a 'chat with your docs' feature, a knowledge assistant, or to debug why a RAG system gives wrong/ungrounded answers. Produces a RAG design doc — ingestion & chunking, embeddings & index, retrieval & reranking, the generation prompt, grounding/citations, evaluation, and failure modes with mitigations.DesignFără avertismente★ 1,5 K↓ —
- litreviewalirezarezvani/claude-skillsUse when starting a literature review or a literature-based project. Plans the search (PICO, SPIDER) with framework_recommender.py, searches PubMed and OpenAlex with free_search.py and writes a .docx orientation guide. Single-paper lookups: query directly.DocumenteFără avertismente★ 29,2 K↓ —
- public-commentmohitagw15856/pm-claude-skillsDraft a persuasive public comment on a proposed rule, regulation, or plan. Use when asked to comment on a rulemaking, respond to a consultation, submit feedback on a proposed regulation, or write a comment to an agency. Produces a structured comment: your position, specific evidence-based arguments tied to the proposal's text, suggested edits, and the impact — the kind agencies must consider on the record.JuridicFără avertismente★ 1,5 K↓ —
- policy-draftermohitagw15856/pm-claude-skillsDraft an internal policy people can actually follow — the rule stated plainly with its reason, the bright lines separated from the judgment zones, the edge cases resolved by principle, and the enforcement reality stated honestly. Use when asked write our expense/remote-work/AI-use/security policy, turn this incident into a policy, our policy doc is unreadable, or people keep asking what's allowed. Produces the policy with rules-plus-reasons, the bright-line/judgment split, the worked edge cases, and the honest enforcement section.SecuritateFără avertismente★ 1,5 K↓ —
- design-system-compliancereticlehq/reticleCheck that the UI you actually rendered uses the design system, by reading computed styles in the running app against the project's design tokens. Catches hardcoded hex colors, off-palette backgrounds, invisible or unusable controls, and animations that never ran. Use after building or restyling a component, when a design review is wanted, when a UI looks slightly off but nobody can say why, or when a design system exists and nothing checks whether the code follows it.DesignFără avertismente★ 1,3 K↓ —
- web-designhashgraph-online/awesome-codex-pluginsUse for web interfaces, landing pages, product sites, dashboards, React, Next.js, Astro, Tailwind, frontend audits, responsive design, browser interaction, web motion, or requests for a distinctive non-generic website. Select the web surface and implementation track, load a small reference bundle, preserve usability and accessibility, and validate the rendered result. Skip when the target is exclusively native Apple, Android, or Windows.DesignFără 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↓ —
- market-researchalirezarezvani/claude-skillsUse for market sizing (TAM, SAM, SOM both top-down and bottom-up), survey sample sizes or segment scoring. Runs market_sizer.py, sample_size_planner.py and segmentation_scorer.py and never returns one unsourced number.ȘtiințăFără avertismente★ 29,2 K↓ —
- pricing-strategistalirezarezvani/claude-skillsUse when choosing or revisiting pricing: seat, usage, value-based, freemium or hybrid, Van Westendorp willingness-to-pay analysis, or Good/Better/Best tiers. Runs pricing_model_picker.py, wtp_analyzer.py and packaging_designer.py and returns a range, not one number.AlteleFără avertismente★ 29,2 K↓ —
- interview-prepmohitagw15856/pm-claude-skillsPrepare for a specific interview at a specific company, not just 'an interview'. Use when asked to prep for an interview, prepare answers for a role, practice for a specific company's interview, or get ready for a behavioural/case/PM round. Produces a tailored prep pack — likely questions for this role & round, STAR-structured answers from your background, your stories mapped to their competencies, questions to ask, and the gaps to shore up.PlanificareFără avertismente★ 1,5 K↓ —
- api-design-revieweralirezarezvani/claude-skillsUse for any PR or spec that adds or changes REST endpoints, before approving it. Lints conventions with api_linter.py, detects breaking changes with breaking_change_detector.py and scores the design with api_scorecard.py.DesignFără avertismente★ 29,2 K↓ —
- federal-resumemohitagw15856/pm-claude-skillsWrite a US federal resume for a USAJOBS application: the long, detailed format with hours per week, grade-relevant duties and specialised experience written to the announcement's qualifications. Use when asked to write my federal resume, apply on USAJOBS, turn my private-sector resume into a government resume, or qualify for a GS grade. Produces the federal resume, a qualifications crosswalk against the announcement's specialised experience, and a checklist of the details USAJOBS reviewers reject applications for missing.RedactareFără avertismente★ 1,5 K↓ —
- mode-classificationagentlas-ai/Agentlas-OSUse before routing a /meta-agent request to choose single-agent-creator, team-builder, or agentlas-packager from the user's wording and available files.AlteleFără avertismente★ 1,6 K↓ —Apare și în 1 alt depozit
- hep-stormagentlas-ai/Agentlas-OSRun a force-robust Stormbreaker loop — route to real agents, execute a verified pipeline to completion.AlteleFără avertismente★ 1,6 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↓ —
cikm-experiments
brycewang-stanford/Awesome-Journal-Skills
DevOpsActualizat 27 sept. 2026
De la autor
Use when designing or auditing the empirical program of a CIKM paper — matching evidence to the claim's lanes across retrieval, mining, and knowledge-management evaluation cultures, choosing datasets and baselines that survive a blended panel, isolating the boundary mechanism, and meeting applied-track deployment-evidence bars.
Instalare
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cikm-experiments -a claude-code
Se instalează în .claude/skills/cikm-experiments/ · 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: MIT
Verificări de siguranță pe SKILL.md
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De ce 88
Securitate100
Proveniență77
Întreținere100
Licență100
Adopție50
Fișiere (1)
- SKILL.md