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 11 ore
49.409 skill-uri
- 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↓ —
- agentlas-stormagentlas-ai/Agentlas-OSUse when the user types /agentlas-storm, /agentlas storm, /hep-storm, or says @Hephaestus storm <goal> to drive a goal through the force-robust Stormbreaker loop with real Agentlas specialists.PlanificareFără avertismente★ 1,6 K↓ —
- seo-offpagerampstackco/claude-skillsPlan and execute off-page SEO including link building, digital PR, brand mentions, citation building, and external authority signals. Use this skill whenever the user wants to build backlinks, plan a digital PR campaign, list local citations, run guest post outreach, develop linkable assets, recover lost links, or audit a backlink profile for risk. Triggers on link building, backlinks, digital PR, brand mentions, citation building, guest post, outreach, linkable asset, broken link building, HARO, podcast outreach, off-page SEO, anchor text, link velocity, toxic backlinks, disavow. Also triggers when the user is trying to grow domain authority or earn coverage.MarketingFără avertismente★ 1 K↓ —
- shiphashgraph-online/awesome-codex-pluginsUse when all plan tasks are done and green to review, archive planning artifacts, and ask how to finish.PlanificareFără avertismente★ 1,5 K↓ —
- analyze-objectsmicrosoft/power-platform-skillsUse when analyzing interacting object types, object-centric processes, leading-object executions or cross-object delay.AlteleFără avertismente★ 1,1 K↓ —
- research-marketgooseworks-ai/goose-skillsMarket research and brand watch: which market the brand is in, how big the reachable part is, what's changing, how buyers buy and what they pay, what people are saying now, and what it means for positioning. Use when the marketer asks for market research, "how big is my market", "what's changing in my category", "what do others charge", "what are people saying about us", "is there demand for <idea>", or "watch my brand / tell me if something blows up" (alerts only, risk first). Also writes positioning choices and finished messages ("position my product", "write our positioning"). Researches first, asks only decisions at the end, and saves the output to the brand. Not for who the buyers are and their own words — use research-audience; not for a deep look at rivals — use research-competitors.ȘtiințăFără avertismente★ 1,3 K↓ —
- arcmirahashgraph-online/awesome-codex-pluginsAnswers what YouTube shows and podcasts said: transcripts, who was mentioned, sponsors, recommendations, momentum. Use for the arcmira MCP server or CLI.InginerieFără 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↓ —
- 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↓ —
- compare-cohortsmicrosoft/power-platform-skillsUse when comparing process cohorts, departments, periods or before-and-after results under matched definitions.AlteleFără avertismente★ 1,1 K↓ —
- hep-searchagentlas-ai/Agentlas-OSSearch Agentlas Cloud and Hub agent candidates without invoking.AlteleFără avertismente★ 1,6 K↓ —
- colt-camera-readybrycewang-stanford/Awesome-Journal-SkillsUse when converting an accepted COLT (Conference on Learning Theory) paper into its PMLR proceedings version, covering de-anonymization, acknowledgements and funding restoration, appendix consolidation into the archival PDF, PMLR volume metadata and BibTeX hygiene, rebuttal-promised edits, and presentation logistics.DocumenteFără avertismente★ 1,4 K↓ —
- repo-onboardinghoangsonww/Claude-Code-Agent-MonitorUnderstand this repository quickly before making changes. Use for architecture discovery, ownership mapping, command selection, and initial implementation planning.PlanificareFără avertismente★ 1,1 K↓ —Apare și în 1 alt depozit
- unslopNouhashgraph-online/awesome-codex-pluginsRewrite prose so it stops reading as machine-generated, using EndoStack's numbered catalog of AI-writing tells. Use on /unslop, "de-AI this", "clean up this draft", "make this plain", and whenever another skill sends text here for a slop pass.RedactareFără avertismente★ 1,5 K↓ —
- react-doctoramplifthq/openmeldUse when the user requests React Doctor or a React code-health audit, or when a concrete React diagnostic question would benefit from its scan. Not a default step after React changes or before committing.InginerieFără avertismente★ 1,4 K↓ —
- colm-related-workbrycewang-stanford/Awesome-Journal-SkillsUse when positioning a COLM paper inside the fastest-moving literature in ML — triaging arXiv-heavy citations, handling concurrent work fairly, citing model and dataset artifacts correctly, distinguishing COLM's three-edition archive from adjacent venues' archives, and keeping self-citation double-blind safe.ȘtiințăFără avertismente★ 1,4 K↓ —
- cav-related-workbrycewang-stanford/Awesome-Journal-SkillsUse when positioning a CAV (Computer Aided Verification) submission against the verification literature across CAV, TACAS, FMCAD, VMCAI, POPL/PLDI, and the journals (FMSD, JAR, TOCL, STTT), writing delta-first contrast rather than a citation catalog, crediting the right benchmark and tool lineages, keeping self-citations double-anonymous for the anonymized categories, and handling concurrent and prior-version overlap.RedactareFără avertismente★ 1,4 K↓ —
- security-patternsCloudAI-X/claude-workflow-v2Implements authentication, authorization, encryption, secrets management, and security hardening patterns. Use when designing auth flows, managing secrets, configuring CORS, implementing rate limiting, or when asked about JWT, OAuth, password hashing, API keys, RBAC, or security best practices.SecuritateFără avertismente★ 1,4 K↓ —
- plan-campaign-channel-decisiongooseworks-ai/goose-skillsStep of the plan-campaign playbook: marks each candidate channel Run, Test, Later or No with a brand-fact reason and founder hours. Run plan-campaign instead; not for direct use.MarketingFără avertismente★ 1,3 K↓ —
- readyhashgraph-online/awesome-codex-pluginsUnderstand what you mean before anything is built. Takes anything — a one-line idea, notes, a spec, or a mix — reads the project first, asks only what is yours to decide, and writes your intent down for you to approve. Use when the user invokes the `ready` skill. Requires git.RedactareFără avertismente★ 1,5 K↓ —Apare și în 3 alte depozite
- recallNouhashgraph-online/awesome-codex-pluginsRebuild where recent work stands from the agent's past chat transcripts and the team's shared record (PRs, tickets, chat, errors), and return a short status brief ending in the next step. Use for "what was I doing on X", "catch me up on my work", "where did I leave off".AlteleFără avertismente★ 1,5 K↓ —
- design-buildhashgraph-online/awesome-codex-pluginsExecute a design plan produced by /design -- implements each node against its embedded measurement spec and gates every task on the project's build or tests under a bounded retry budget. Runs with Figma disconnected; the plan carries every number it needs. --auto runs the whole loop without a prompt.DesignFără avertismente★ 1,5 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
- rpihashgraph-online/awesome-codex-pluginsDrive one accepted change through implementation and checks to done, with one fresh review only where a mistake is costly. Use when: asked to run or orchestrate work through RPI.InginerieFără avertismente★ 1,5 K↓ —Apare și în 2 alte depozite
cost-alert
hoangsonww/Claude-Code-Agent-Monitor
De la autor
Review the configured cost alert rules and the alerts currently fired on the Agent Monitor dashboard, then explain exactly what tripped and why. Uses /api/alerts (fired feed) and /api/alerts/rules (definitions). Use when checking spend alerts or asking why a cost alarm went off.
Instalare
npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill cost-alert -a claude-code
Se instalează în .claude/skills/cost-alert/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
La ce are acces
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De ce 88
Fișiere (2)
- SKILL.md
- agents/openai.yaml