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.
49.395 de skill-uri din 2.375 de depozite · actualizat acum 17 minute
48.347 de skill-uri
- pcfmicrosoft/power-platform-skillsBuilds, tests, diagnoses, upgrades, deploys and verifies Power Apps component framework (PCF) code components for model-driven apps and Power Pages — field and dataset controls, standard and virtual (React) — from Microsoft-maintained templates and recipes pinned to a tested version matrix. Runs quality gates (manifest and host lint, source checks, lint, unit tests, production build), deploys with pac pcf push, verifies registration and form bindings, and guides Power Pages enablement, with guided setup for canvas apps. Use when the user wants to build, fix, upgrade, deploy or check a PCF control or code component, or asks why one fails to build, import, update or render. For a whole page use /model-apps:genpage; for a whole app use /model-apps:app-builder.TestareFără avertismente★ 1,1 K↓ —
- session-agent-builderagentlas-ai/Agentlas-OSTurn the current interactive conversation into an owner-reviewed reusable Agentlas agent; accept JSON or JSONL only for explicit terminal and automation runs.AlteleFără avertismente★ 1,6 K↓ —Apare și în 5 alte depozite
- drive-desktop-appreticlehq/reticleDrive and verify an Electron or Tauri desktop app from the inside, including the main-process and Rust IPC calls a browser tool cannot see. Use when a desktop app needs testing, when a feature works in the browser but not in the packaged app, when an IPC or invoke call needs proving, when a desktop screenshot or visual diff is wanted, or when you need a headless run of a desktop UI in CI.TestareFără avertismente★ 1,3 K↓ —
- report-issuemicrosoft/power-platform-skillsUse this skill when the user wants to "report a bug", "file an issue", "report an issue", "submit a bug report", or report any problem with the pcf plugin to the GitHub repository.AlteleFără avertismente★ 1,1 K↓ —
- make-static-ads-copy-variantsgooseworks-ai/goose-skillsStep of the make-static-ads playbook: after an image is approved, makes more versions of the same picture with different hooks, headlines or fonts by a quoted re-render with the approved render attached as the brand's own image, so copy can be tested without new visuals. Offered, never default. Run make-static-ads instead; not for direct use.MarketingFără avertismente★ 1,3 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★ 29,2 K↓ —
- cav-camera-readybrycewang-stanford/Awesome-Journal-SkillsUse when preparing an accepted CAV (Computer Aided Verification) paper for its Springer LNCS open-access camera-ready, covering de-anonymization for the previously double-blind categories, the LNCS llncs template and Springer metadata (ORCID, author order, running heads), the copyright/open-access forms, integrating reviewer-required changes without scope creep, permanentizing artifact links, and the AEC badge handoff.ȘtiințăFără avertismente★ 1,4 K↓ —
- make-static-ads-claims-extractgooseworks-ai/goose-skillsStep of the make-static-ads playbook: pulls every claim-bearing span out of an ad — the copy around the image, the on-image words in the prompt, badges, and what the picture implies — and keeps or cuts each by the brand-brain rule. Runs before spend on the finished prompt (Pass A) and on every render (Pass B). Run make-static-ads instead; not for direct use.MarketingFără 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↓ —
- imc-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing ACM IMC measurements, covering representative vantage points, honest ground truth, longitudinal design for a moving Internet, safe and ethical active measurement, coverage-bias quantification, provenance pinning, and matching the measurement to the shape of each claim about the real Internet.DesignFără avertismente★ 1,4 K↓ —
- atc-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the evaluation of an ATC (ACM SIGOPS Annual Technical Conference, formerly USENIX ATC) systems paper — matching evidence to the claim with real testbeds, fair baselines, end-to-end plus microbenchmark results, tail-latency and variance reporting, workload realism, and honest cost accounting.ȘtiințăFără avertismente★ 1,4 K↓ —
- acl-camera-readybrycewang-stanford/Awesome-Journal-SkillsUse when preparing an accepted ACL main-conference or Findings paper for camera-ready, covering the extra content page, de-anonymization and acknowledgements, AI-assistance disclosure, keeping the Limitations section, ACL Anthology metadata and CC BY 4.0 publication, meta-review-driven edits, and presentation-mode logistics.ȘtiințăFără avertismente★ 1,4 K↓ —
- sci-citationbrycewang-stanford/Awesome-Journal-SkillsUse when converting a reference list to Science (AAAS) numbered style — italic numbers cited in order of appearance, a single continuous list that the Supplementary Materials share, full author lists rather than "et al." in the bibliography, and abbreviated journal titles. Late-stage style pass for the flagship AAAS weekly.ȘtiințăFără avertismente★ 1,4 K↓ —
- imc-camera-readybrycewang-stanford/Awesome-Journal-SkillsUse when preparing an accepted ACM IMC paper for the proceedings, covering systematic de-anonymization, finalizing the Ethics and artifact-availability statements, permanentizing dataset and code links to DOI-issuing archives, satisfying the availability shepherd, Community Contribution Award eligibility, and ACM production checks.ȘtiințăFără avertismente★ 1,4 K↓ —
- nejm-submissionbrycewang-stanford/Awesome-Journal-SkillsUse as the final preflight before submitting to NEJM — a complete clinical checklist across significance, registration, reporting guidelines, abstract, statistics, display items, ethics, references, and required files. Bundles a checklist and a clinical cover-letter template.ȘtiințăFără avertismente★ 1,4 K↓ —
- popl-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when preparing a POPL submission for the single July HotCRP deadline — auditing the 25-pages-of-text acmsmall cap, summary-rejection format rules, full double-blind hygiene for theory papers with public proof repositories, dual-submission exposure, and the final-days upload order before the AoE cutoff.ProductivitateFără avertismente★ 1,4 K↓ —
- jama-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when running the final pre-submission preflight for a JAMA manuscript — word/format limits, required statements, checklist and flow-diagram files, disclosures, and portal steps. Verifies completeness; it does NOT write or analyze content.RedactareFără avertismente★ 1,4 K↓ —
- sci-rebuttalbrycewang-stanford/Awesome-Journal-SkillsUse after Science reviews arrive to triage the decision, prioritize experiments, and draft a point-by-point response that is respectful, evidence-led, and honest about limits. Do not run before the main text is actually revised.ȘtiințăFără avertismente★ 1,4 K↓ —
- ai-tool-pickermohitagw15856/pm-claude-skillsFigure out which AI tool actually fits the task in front of you — chatbot, coding assistant, image model, agent, or none — instead of forcing one tool onto everything. Use when asked which AI tool should I use for, what's the best AI for, do I even need AI for this, or should I use ChatGPT or something else. Produces a match between your task and the right kind of AI tool (with why), the trade-offs that matter for your case, when the answer is a non-AI tool or plain human effort, and how to try it cheaply before committing — so you pick by fit, not by hype or habit.MediaFără avertismente★ 1,5 K↓ —
- flight-trackermohitagw15856/pm-claude-skillsTrack live aircraft positions with zero API keys — adsb.lol's open ADS-B network primary, OpenSky fallback, via curl: by callsign, registration, or area. Use when asked where is this flight right now, what planes are overhead, track a tail number, or is that flight in the air. Produces the live position with altitude, speed, and heading interpreted, the overhead list for a location, and the rerunnable command — with the positions-not-schedules boundary stated honestly.MarketingFără avertismente★ 1,5 K↓ —
- debug-appmicrosoft/power-platform-skillsDiagnose Power Apps mobile install/startup failures, npm run dev errors, missing package entry points, or QR/device-opening problems even before an app is loaded. Inspect locally first; restore locked dependencies or restart Metro only with explicit approval, never upgrade packages or patch host/MSAL source. For a running native app, monitor sanitized project-local Metro logs and diagnose runtime errors or silent failures such as empty lists and blank screens. Supports startup-only diagnosis, symptoms, port/platform filters, bounded monitoring, and non-mutating --no-fix mode. Verify the original symptom, not merely installation or quiet logs.InginerieFără avertismente★ 1,1 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↓ —
- verify-form-validationreticlehq/reticleCheck that a form actually rejects bad input: the error message renders, the submit button stays disabled, and no request goes out. Use when validation logic was written but never driven, when a "required" or pattern check looks right on screen but was never proven, or when a bug report says the form submitted invalid data anyway.MediaFără avertismente★ 1,3 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↓ —
dynamodb
itsmostafa/aws-agent-skills
DevOpsActualizat acum 22 de ore
De la autor
AWS DynamoDB NoSQL database for scalable data storage. Use when designing table schemas, writing queries, configuring indexes, managing capacity, implementing single-table design, or troubleshooting performance issues.
Instalare
npx skills add itsmostafa/aws-agent-skills --skill dynamodb -a claude-code
Se instalează în .claude/skills/dynamodb/ · 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
Niciun avertisment.
De ce 88
Securitate100
Proveniență77
Întreținere100
Licență100
Adopție50
Fișiere (2)
- SKILL.md
- query-patterns.md