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.
49.450 de skill-uri din 2.407 depozite · actualizat acum 25 de minute
49.450 de skill-uri
- roastalirezarezvani/claude-skillsRoast an idea: a 5-angle panel (Critic, Champion, Analyst, Investigator, Customer) attacks it, then a Judge returns one GO / RESHAPE / KILL verdict with the cheapest test to de-risk it. Use whenever the user wants to pressure-test or validate a business idea, asks for a brutal second opinion before building, asks is this a good idea, says convene the panel, or runs /roast.TestareFără avertismente★ 29,3 K↓ —
- openmeld-cliamplifthq/openmeldUse OpenMeld when a task needs Organization knowledge or Skills, Center Agent help, shared Spaces or Files, another Agent or computer, or scheduled cloud work. Also use for OpenMeld setup and Wake replies.InginerieFără avertismente★ 1,4 K↓ —Apare și în 3 alte depozite
- pattern-detecthoangsonww/Claude-Code-Agent-MonitorDetect recurring patterns using the Agent Monitor's workflow intelligence — toolFlow transitions (tool A → B frequency matrices), recurring workflow patterns, agent co-occurrence pairs, model delegation habits, error propagation paths by agent depth, and compaction triggers. Use to discover habitual usage patterns and anti-patterns.ProductivitateFără avertismente★ 1,1 K↓ —
- oma-debugfirst-fluke/oh-my-agentDiagnose a reproducible failure, fix its cause, and verify the regression. Use for crashes, incorrect behavior, and failing tests.InginerieFără avertismente★ 1,4 K↓ —
- writing-plansmohitagw15856/pm-claude-skillsWrite an executable work plan BEFORE starting a complex task — decomposed steps with verification points, risks pre-named, and explicit stop conditions — so execution becomes checking boxes instead of improvising. Use when a task will take many steps, when asked to plan before doing, when previous attempts sprawled or stalled, or before delegating work to subagents. Produces a plan document another agent (or future you) could execute without re-deriving the thinking. Pairs with executing-plans.RedactareFără avertismente★ 1,5 K↓ —
- ship-or-slipmohitagw15856/pm-claude-skillsTurn a release-readiness argument into one typed decision — ship, ship reduced, or slip — with a defined state, defined options, and a probability for each. Use when asked should we ship Friday, are we ready to release, do we slip the date, go/no-go for the release, or when a launch checklist is done and someone still has to call it. Produces a filled release state, the three-way decision with probabilities and confidence, the act-or-hold verdict against the thresholds, and the one fact that would flip it.AlteleFără avertismente★ 1,5 K↓ —
- huggingface-community-evalshuggingface/skillsRun evaluations for Hugging Face Hub models using inspect-ai and lighteval on local hardware. Use for backend selection, local GPU evals, and choosing between vLLM / Transformers / accelerate. Not for HF Jobs orchestration, model-card PRs, .eval_results publication, or community-evals automation.OficialAlteleFără avertismente★ 11,3 K↓ —
- 01-auto-arenaagentscope-ai/OpenJudgeAutomatically evaluate and compare multiple AI models or agents without pre-existing test data. Generates test queries from a task description, collects responses from all target endpoints, auto-generates evaluation rubrics, runs pairwise comparisons via a judge model, and produces win-rate rankings with reports and charts. Supports checkpoint resume, incremental endpoint addition, and judge model hot-swap. Use when the user asks to compare, benchmark, or rank multiple models or agents on a custom task, or run an arena-style evaluation.TestareFără avertismente★ 1,1 K↓ —
- huggingface-vision-trainerhuggingface/skillsTrains and fine-tunes vision models for object detection (D-FINE, RT-DETR v2, DETR, YOLOS), image classification (timm models — MobileNetV3, MobileViT, ResNet, ViT/DINOv3 — plus any Transformers classifier), and SAM/SAM2 segmentation using Hugging Face Transformers on Hugging Face Jobs cloud GPUs. Covers COCO-format dataset preparation, Albumentations augmentation, mAP/mAR evaluation, accuracy metrics, SAM segmentation with bbox/point prompts, DiceCE loss, hardware selection, cost estimation, Trackio monitoring, and Hub persistence. Use when users mention training object detection, image classification, SAM, SAM2, segmentation, image matting, DETR, D-FINE, RT-DETR, ViT, timm, MobileNet, ResNet, bounding box models, or fine-tuning vision models on Hugging Face Jobs.OficialMediaFără avertismente★ 11,3 K↓ —
- monthly-reviewhoangsonww/Claude-Code-Agent-MonitorCompile a month-over-month retrospective from Agent Monitor data — sessions, cost, token volumes, completion rate, top projects by working directory, and notable shifts versus the prior month. Uses daily_sessions/daily_events (365d) from analytics, the session list, and the pricing cost breakdown. Use when doing a monthly retrospective or planning the month ahead.InginerieFără avertismente★ 1,1 K↓ —
- minutes-tagsilverstein/minutesLightweight outcome tagging for meetings — won, lost, stalled, great, or noise. Use whenever the user says "tag this meeting", "mark that as a win", "that one was a loss", "tag yesterday's call as stalled", "mark this great", "that meeting was noise", "label that meeting", or any time they describe a meeting outcome in passing. Tagging takes 5 seconds and unlocks /minutes-mirror correlation analysis — the more meetings get tagged, the smarter mirror gets at telling the user what behavior patterns lead to wins. Surface this skill any time the user mentions a meeting result, win, loss, or wasted time.AlteleFără avertismente★ 1,6 K↓ —Apare și în 1 alt depozit
- okr-buildermohitagw15856/pm-claude-skillsCreate well-structured OKRs (Objectives and Key Results) for product teams, startups, and individuals. Use when asked to write OKRs, set quarterly goals, define key results, or review existing OKRs. Produces a complete OKR set with objectives, measurable key results, baselines, and a scoring guide.RedactareFără avertismente★ 1,5 K↓ —
- one-pagermohitagw15856/pm-claude-skillsDistil anything — a startup, product, project, or idea — into a single persuasive page. Use when asked to make a one-pager, a one-page summary, a leave-behind, a startup/product one-sheet, or a tl;dr brief. Produces a structured single page — headline + tagline, the problem, the solution, why-now/proof, and a clear ask/CTA — designed to be skimmed and remembered, ready to export as a typeset PDF.DocumenteFără avertismente★ 1,5 K↓ —
- oma-docsfirst-fluke/oh-my-agentCheck documentation references, sync docs to code changes, and detect translation drift. Use for documentation maintenance in a repository.InginerieFără avertismente★ 1,4 K↓ —
- minutes-lintsilverstein/minutesHealth-check your meeting knowledge for contradictions, stale commitments, and decision conflicts. Use when the user asks "any conflicts in my meetings", "check for stale action items", "lint my meetings", "consistency check", "are there contradictions", or wants to audit their decision history.AlteleFără avertismente★ 1,6 K↓ —Apare și în 1 alt depozit
- seohashgraph-online/awesome-codex-pluginsFix SEO problems Loomaly ranks first: status → todo (fix is on the top item) → change code on a branch → check target fix with the PR link. For solo and developers.MarketingFără avertismente★ 1,5 K↓ —
- public-relationskostja94/marketing-skillsWhen the user wants to plan PR, write a press release, or manage media relations. Also use when the user mentions "public relations," "PR," "press release," "media relations," "news release," "journalist," "media coverage," "product announcement," or "earned media." For on-site "As Seen In" or logos page, use press-coverage-page-generator.RedactareFără avertismente★ 1,1 K↓ —
- improve-architecturedaveebbelaar/bamaArchitecture check-in for a growing macOS Swift codebase. Finds hot spots, proposes deeper modules, and refactors one step per commit with behavior proven unchanged. Use at the end of a milestone, before a big feature, when a file passes 600 lines, when one feature touches many files, when bugs repeat in one area, or when the user asks to refactor or clean up the code.PlanificareFără avertismente★ 1,6 K↓ —
- design-qaNoualirezarezvani/claude-skillsUse when a UI screen, page or component is about to be called done, handed off or shipped, or when generated UI looks generic or half-finished. Gates the rendered result, not the design file - finds controls that do nothing, placeholder copy, removed focus rings, missing loading/empty/error states, low contrast, small targets, hidden focus and broken reflow measured in the real browser, and flags template defaults without blocking on taste.TestareFără avertismente★ 29,3 K↓ —Apare și în 1 alt depozit
- pinme-emailglitternetwork/pinmeUse this skill when a PinMe project (Worker TypeScript) needs to integrate email sending (send_email). Guides AI to generate correct Worker TS code.ProductivitateFără avertismente★ 3,8 K↓ —
- add-containerNouajnart/self-hostDCM Container work. Use to add or edit a Container in dcm/src/tools/, including an issue labelled `container` and then `accepted`, and the pull request dcm-add-container.yml opens from it. A Container is a compose snippet DCM offers for a product the Catalog does not install. Catalog Apps go to edit-catalog.RedactareFără avertismente★ 1,5 K↓ —
- oma-pdffirst-fluke/oh-my-agentExtract PDF text, headings, tables, and images into Markdown using opendataloader-pdf. Use for PDF parsing, not PDF layout creation.DocumenteFără avertismente★ 1,4 K↓ —Apare și în 1 alt depozit
- brooks-sweephyhmrright/brooks-lintFull-sweep mode: runs a unified analysis across all quality dimensions — code decay, architecture, tech debt, and test quality — then applies fixes directly to the codebase. Safe changes are auto-applied; risky changes are confirmed before execution. Drawing on twelve classic engineering books. Triggers when: user wants to "fix everything", "sweep the codebase", "auto-fix all issues", "clean up the whole project", or asks for a single command that both diagnoses and remediates quality problems. Do NOT trigger for: read-only audits or health reports where the user only wants findings without code changes; single-dimension reviews (use the focused skill instead: brooks-review / brooks-audit / brooks-debt / brooks-test); server health checks, HTTP /health endpoints, Kubernetes probes, database health, or application uptime.TestareFără avertismente★ 1,6 K↓ —
- ru-scorehashgraph-online/awesome-codex-pluginsScore Russian text 0.0–10.0 across five dimensions: typography, clean language, grammar, structure, precision for the reader. Triggers: оцени текст, ru-score, оценка качества текста, насколько хорош текст, балл за текст. Use when the user wants a number rather than a list of findings. Never edits a file.DesignFără avertismente★ 1,5 K↓ —Apare și în 1 alt depozit
agent-designer
alirezarezvani/claude-skills
DesignActualizat acum 9 ore
De la autor
Design multi-agent systems (supervisor, swarm, pipeline) and tool schemas; find bottlenecks in run logs. Use whenever agents split work or a run is slow or costly. Not for Claude Code workflow files (workflow-builder).
Instalare
npx skills add alirezarezvani/claude-skills --skill agent-designer -a claude-code
Se instalează în .claude/skills/agent-designer/ · 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
Rulează scripturile incluseNu am văzut acces la rețeaLicență: MIT
Verificări de siguranță pe SKILL.md
- Include scripturi pe care nu le-am verificatScăzut
De ce 88
Securitate85
Proveniență94
Întreținere100
Licență100
Adopție69
Fișiere (14)
- README.md
- SKILL.md
- agent_evaluator.py
- agent_planner.py
- assets/sample_execution_logs.json
- assets/sample_system_requirements.json
- assets/sample_tool_descriptions.json
- expected_outputs/sample_agent_architecture.json
- expected_outputs/sample_evaluation_report.json
- expected_outputs/sample_tool_schemas.json
- references/agent_architecture_patterns.md
- references/evaluation_methodology.md
- încă 2