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.
49.456 de skill-uri din 2.407 depozite · actualizat acum 34 de minute
49.459 de skill-uri
- cloudbase-miniprogramTencentCloudBase/CloudBase-AI-ToolkitUse when building a WeChat Mini Program (微信小程序 / 小程序) with a real backend on 腾讯云开发 CloudBase — from an idea to a published release. Triggers on: 小程序, 微信小程序, wx.cloud, 云开发, 云函数, 数据库, 集合, 云存储, 上传图片, 登录, openid, 订阅消息, 支付, 体验版, 预览, 上传代码, 提交审核, 发布, 合法域名, 真机调试, 分包. Covers project scaffolding, project.config.json / appid / miniprogramRoot, the wx.cloud data path, cloud functions, storage, auth, subscription messages, and the preview → upload → review → release chain. Do NOT use for Web/H5 frontends (use a web skill), pure backend services, or mini programs that do not use CloudBase.InginerieFără avertismente★ 1,2 K↓ —
- doctorhashgraph-online/awesome-codex-pluginsRead-only docflow diagnosis: scans docs, config, changelog, and links, then recommends init, adopt, or repair. Use when asked "check docs setup", "should I set up docflow", "why is docflow not working", or "doctor".AlteleFără avertismente★ 1,5 K↓ —
- audit-performancedzhng/skillsAudit and prioritize performance work through bounded-work and forward-progress checks. Use when asked to find performance issues, investigate freezes/500s/OOMs, review retries or polling for no-progress loops, rank a performance backlog, or implement the next simple performance fixes.FinanțeFără avertismente★ 1,4 K↓ —
- explore-unknownsdzhng/skillsGuide the user through a quadrant walk that maps the unknowns of a task — open by listing the known knowns, then work through known unknowns, unknown knowns, and unknown unknowns one stage at a time, ending with a complete four-quadrant map in the user's hands. Use when a request is ambiguous or underspecified, the codebase or domain is unfamiliar, the user will "know it when they see it", a reference implementation must be understood before porting, mid-build deviations from the plan need capturing, or a finished change needs buy-in or verified understanding before merge. Pairs with [write-spec](../write-spec/SKILL.md) — walk the quadrants to burn off fog before slicing, and feed the finished map into the spec.RedactareFără avertismente★ 1,4 K↓ —
- hyperframes-cliActualizatheygen-com/hyperframesThe HyperFrames CLI by job - scaffold, check, look at frames, edit the timeline, preview, render locally or in the cloud, publish, project history - plus reading its JSON and recovering from build or render failures.OficialInginerieVerifică întâi★ 79,3 K↓ —
- signup-flow-croalirezarezvani/claude-skillsUse when signup, registration or trial-start conversion is low or a signup flow is being designed. Finds the drop-off step with funnel_drop_analyzer.py and removes friction field by field.MarketingFără avertismente★ 29,3 K↓ —
- commercial-forecasteralirezarezvani/claude-skillsUse when building a bookings, ARR, pipeline or NRR forecast, or a commit, best-case and pipeline board number. Forecasts with bookings_forecaster.py, projects cohorts with cohort_arr_projector.py and scores stage confidence with funnel_confidence_scorer.py, showing every conversion assumption.MarketingFără avertismente★ 29,3 K↓ —
- senior-backendalirezarezvani/claude-skillsBuild and fix backend services: REST or GraphQL APIs, auth, microservices, PostgreSQL queries, migrations and load tests. Use whenever the user's API is slow or broken, needs login or auth added, a schema change, or a new endpoint or service scaffolded.TestareFără avertismente★ 29,3 K↓ —
- new-skillhyhmrright/brooks-lintScaffold a new brooks-lint analysis skill so it passes `npm run validate` and `npm run evals` on the first try — generates skills/{name}/SKILL.md (with the mandatory "Do NOT trigger for:" clause and a Process section citing guide step ranges) plus skills/{name}/{name}-guide.md (sequentially numbered steps), then appends paired eval scenarios. Triggers when the maintainer asks to "add a new skill", "scaffold a skill", or "create a brooks-lint mode". Do NOT trigger for: editing an existing skill's content, adding a single eval to an existing skill, or authoring skills for some other plugin.RedactareFără avertismente★ 1,6 K↓ —
- plan-campaign-brief-and-assetsgooseworks-ai/goose-skillsStep of the plan-campaign playbook: writes angles per channel, the asset list, measurement plan, hand-offs and replan triggers, then assembles the plan. Run plan-campaign instead; not for direct use.MarketingFără avertismente★ 1,3 K↓ —
- baoyu-diagramJimLiu/baoyu-skillsCreate professional diagrams with configurable dark/light theme via CSS custom properties. Use this skill whenever the user asks for any kind of technical or conceptual diagram, visualization of a system, process flow, data flow, component relationship, network topology, decision tree, org chart, state machine, or any visual representation of structure/logic/process. Also trigger when the user says "画个图" "画一个架构图" "diagram" "flowchart" "sequence diagram" "draw me a ..." or uploads content and asks to visualize it. Outputs a dark-theme SVG, a light-theme SVG, and a @2x PNG of each.DesignFără avertismente★ 27,3 K↓ —
- jetson-customize-clocksNVIDIA/skillsUse to lock/cap Jetson CPU/GPU/EMC clocks, toggle EMC/CPU DVFS, or change cpufreq governors by editing BPMP DTB and nvpower.sh pre-flash. Do NOT use for live tuning or nvpmodel edits.RedactareFără avertismente★ 3,9 K↓ —
- hf-cloud-sagemaker-production-defaultshuggingface/skillsCreate a SageMaker endpoint (real-time, real-time scale-to-zero, or async) with autoscaling, CloudWatch alarms, and tagging enabled by default. Use this skill whenever about to create a SageMaker endpoint, write deployment code that calls `create_endpoint`, or finalize a deployment after the image URI and IAM role are known. Provides deploy.py for real-time endpoints, deploy_ic.py for real-time endpoints that scale to zero instances via inference components, and deploy_async.py for async endpoints (also scale-to-zero). This is the last step in the SageMaker deployment workflow. Never generate a bare `create_endpoint` call without these defaults — endpoints without autoscaling or alarms are demos, not deployments.OficialDevOpsFără avertismente★ 11,3 K↓ —
- hf-cloud-sagemaker-iam-preflighthuggingface/skillsEnsure a usable SageMaker execution role exists before deploying or training. Use this skill whenever about to create a SageMaker endpoint, model, training job, or any resource that requires an execution role. Use it especially when the user has not provided a role ARN explicitly, when scripts are about to call `iam:CreateRole`, or when an AccessDenied error mentions an IAM action. Never blindly call `iam:CreateRole` — always check for existing roles first. This skill prevents the most common SageMaker deployment failure: trying to create IAM resources from an SSO principal that has no IAM write permissions.OficialDevOpsFără avertismente★ 11,3 K↓ —
- setupfcakyon/claude-codex-settingsThis skill should be used when the user asks "how to setup GitHub CLI", "configure gh", "gh auth not working", "GitHub CLI connection failed", "gh CLI error", or needs help with GitHub authentication.InginerieFără avertismente★ 1,2 K↓ —
- write-outreach-draft-sequencegooseworks-ai/goose-skillsStep of the write-outreach playbook: the brief a helper follows to write one segment's email and LinkedIn sequence, first lines and replies from rows and an angle prepared earlier. Run write-outreach instead; not for direct use.RedactareFără avertismente★ 1,3 K↓ —
- catch-upNouhashgraph-online/awesome-codex-pluginsBrief the user in plain language on what happened in this conversation since their last typed message, with pictures where they help, then lay out every decision waiting on them with a recommendation, evidence and risk. Use when the user runs /catch-up.AlteleFără avertismente★ 1,5 K↓ —
- new-skillhyhmrright/brooks-lintScaffold a new brooks-lint analysis skill so it passes `npm run validate` and `npm run evals` on the first try — generates skills/{name}/SKILL.md (with the mandatory "Do NOT trigger for:" clause and a Process section citing guide step ranges) plus skills/{name}/{name}-guide.md (sequentially numbered steps), then appends paired eval scenarios. Triggers when the maintainer asks to "add a new skill", "scaffold a skill", or "create a brooks-lint mode". Do NOT trigger for: editing an existing skill's content, adding a single eval to an existing skill, or authoring skills for some other plugin.RedactareFără avertismente★ 1,6 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↓ —
- 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↓ —
- routerhashgraph-online/awesome-codex-pluginsFind the right doc before reading code. Use when asked "where is X documented", "is there a spec/ADR for X", "what's the roadmap", "open bugs", "read the docs about X", or "share the docs".PlanificareFără avertismente★ 1,5 K↓ —
- write-outreach-outreach-qagooseworks-ai/goose-skillsStep of the write-outreach playbook: the checks a finished outreach pack and send file must pass before delivery, covering facts, proof, compliance, length, asks and tone. Run write-outreach instead; not for direct use.TestareFără avertismente★ 1,3 K↓ —
- mcp-attribution-worktreeTencentCloudBase/CloudBase-AI-ToolkitTriage, repair, and close MCP attribution issues from the local report API with evidence-driven decisions and isolated Worktrunk worktrees. Use this skill when Codex needs to process `tool` attribution issues and skills-related attribution issues, inspect related runs, decide whether the issue is actionable in `mcp/src` or `config/source/skills`, update attribution fields as `owner=codex`, and then complete the fix loop through GitHub issue tracking, worktree-based code changes, PR submission, and follow-up iteration when the problem is repairable.InginerieFără avertismente★ 1,2 K↓ —
verify-cli-run
reticlehq/reticle
De la autor
Prove that a command-line tool actually did what it said, instead of trusting its exit code and its output. Snapshots the filesystem before and after, names the expected consequence in advance, and returns one of four verdicts with what could not be seen. Use after running a build, a migration, a scaffolder, a formatter, a codegen step, or an AI coding CLI; when a command printed success and you are about to report "done"; when you are about to write "exit code 0, so it worked"; or when a tool claims it edited files. Needs nothing installed.
Instalare
npx skills add reticlehq/reticle --skill verify-cli-run -a claude-code
Se instalează în .claude/skills/verify-cli-run/ · 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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- SKILL.md