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 31 de minute
49.456 de skill-uri
- goal-testundefined-ui/second-brain-osTurn a vague task into a testable definition of done and generate an executable goal-test script for it, optionally with a bounded retry loop around a headless agent. Use when the user wants to run an agent in a loop, asks how to know when an agent task is finished, or says a goal like "improve X" needs to become checkable. Do NOT use for building eval suites over many cases — that is evals-bootstrap.TestareFără avertismente★ 1,4 K↓ —
- benchmarkhashgraph-online/awesome-codex-pluginsUse this skill to measure performance baselines, detect regressions before/after PRs, and compare stack alternatives.AlteleFără avertismente★ 1,5 K↓ —
- scrum-masteralirezarezvani/claude-skillsUse for sprint and team analytics: velocity forecasts, sprint health, retrospectives, burndown or blockers. Forecasts with velocity_analyzer.py (Monte Carlo), scores with sprint_health_scorer.py and tracks retro actions with retrospective_analyzer.py.DateFără avertismente★ 29,3 K↓ —
- planning-with-files-deOthmanAdi/planning-with-filesPersistente dateibasierte Planung für mehrstufige Arbeit mit KI-Agenten. Hält task_plan.md, findings.md und progress.md auf dem Datenträger; Lebenszyklus-Hooks speisen ausgewählten Planungskontext des Projekts ein. Die automatische Wiederherstellung liest nur die Planungsdateien des Projekts. Nur ein ausdrücklicher Aufruf von session-catchup.py --metadata darf lokale Sitzungsmetadaten desselben Projekts prüfen; --replay darf begrenzte, nonce-gerahmte Auszüge ausgeben. Der optionale Gate-Modus kann nur bei Unterstützung durch den Host eine Fortsetzung anfordern und führt niemals in Markdown angegebene Befehle aus. Der Skill hat keinen Netzwerk-Uploadpfad. Verwenden für Forschung oder Arbeit mit mehr als 5 Tool-Aufrufen.PlanificareFără avertismente★ 27,9 K↓ —
- codegraphhashgraph-online/awesome-codex-plugins将 CodeGraph 作为默认内置 MCP-backed 代码图谱能力接入，用于 brownfield 符号搜索、 调用链、影响面和上下文查询。输出必须回落到 `/team-*` 主链和 artifacts。AlteleFără avertismente★ 1,5 K↓ —
- image-processingjezweb/claude-skillsProcess images for web development — resize, crop, trim whitespace, convert formats (PNG/WebP/JPG), optimise file size, generate thumbnails, create OG card images. Uses Pillow (Python) — no ImageMagick needed. Trigger with 'resize image', 'convert to webp', 'trim logo', 'optimise images', 'make thumbnail', 'create OG image', 'crop whitespace', 'process image', or 'image too large'.MediaFără avertismente★ 1,1 K↓ —
- os-check-workkharmanskyi/open-stepsALWAYS invoke this skill when the user asks about work done outside this session - "check work", "check the others", "check other sessions" - or to accept one: "the session is done, check it", "can we merge it" - in any language. You are the receiving party: treat the report as a claim, verify each part against machine state, name every gap between claimed and true. Verified-ready work merges in the same pass. End with what is left, one next step, and any reply another session needs, ready to paste.AlteleFără avertismente★ 1,3 K↓ —
- os-step-by-stepkharmanskyi/open-stepsALWAYS invoke this skill when you need the user to act - run a command, paste a secret, click, approve - and whenever they ask how to do something or say they do not know what to do: "step by step", "walk me through it", "what do I do", "what should I do", "I don't understand what to do", "explain what I need to do", in any language. Picking which task comes next is os-whats-next; this skill is for doing the thing in front of you. First earn the ask: try it yourself, find another route, shrink it to the part only they can do. Then one action per step, commands labelled by what they touch, no jargon. Commands are single lines that prompt for any value - typing hidden for secrets - and confirm in plain words. Afterwards verify their step.ProductivitateFără avertismente★ 1,3 K↓ —
- wordpress-elementorjezweb/claude-skillsEdit Elementor pages and manage templates on WordPress sites via browser automation (for visual / structural changes) or WP-CLI (for safe text replacements). Use whenever the user wants to edit an Elementor page, update text in Elementor widgets, apply or manage Elementor templates, or make content changes to pages built with the Elementor page builder.BrowserFără avertismente★ 1,1 K↓ —
- wellness-planmohitagw15856/pm-claude-skillsBuild a preventive-care (wellness) plan for a pet by species, breed, and life stage. Use when asked to create a wellness plan, plan preventive care, set up a vaccination/parasite schedule, or advise an owner on routine care for a puppy/kitten/adult/senior pet. Produces a life-stage-appropriate schedule — vaccinations, parasite prevention, dental, nutrition, screening diagnostics, and behavioral guidance — with the rationale, so an owner sees preventive care as a plan, not a series of surprise visits.PlanificareFără avertismente★ 1,5 K↓ —
- second-brain-queryundefined-ui/second-brain-osAnswer a question from a second-brain vault by reading its own pages, citing the pages used, and saying plainly when the vault does not contain the answer. Use this skill whenever the user asks what they know about a topic, what they have read on something, what connects two ideas, what they have changed their mind about, or asks any question that should be answered from their own notes rather than general knowledge. Do NOT use for ingesting new material, for general questions the vault has nothing to do with, or when the user explicitly wants an answer from the open web.ProductivitateFără avertismente★ 1,4 K↓ —
- icdt-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when deciding what counts as evidence for an ICDT (International Conference on Database Theory) result — matching-bound complexity analysis as the primary evidence, worked examples and counterexamples that establish separations, and, only for papers with an algorithmic contribution, a proportional and honestly-scoped experimental evaluation that does not pretend to be the contribution.DateFără avertismente★ 1,4 K↓ —
- memory-hygienehuytieu/COG-second-brainPeriodic trust sweep of persistent memory and durable knowledge notes - re-verifies environment-dependent claims against the live environment, stamps last_verified + confidence, and proposes archiving drifted entriesProductivitateFără avertismente★ 1,3 K↓ —
- release-videohuytieu/COG-second-brainTurn a product release (the list of shipped items plus real screen recordings) into a motion recap video and one explained demo per feature, with sound effects tied to on-screen motion and a composed music bed. Use when asked for a release video, a changelog video, a feature recap reel, or demo clips for release notes and docs.MediaFără avertismente★ 1,3 K↓ —
- responsiveness-checkjezweb/claude-skillsTest website responsiveness across viewport widths using browser automation. Resizes a single session through breakpoints, screenshots each width, and detects layout transitions (column changes, nav switches, overflow). Produces comparison reports showing exactly where layouts break. Trigger with 'responsiveness check', 'check responsive', 'breakpoint test', 'viewport test', 'responsive sweep', 'check breakpoints', or 'test at mobile'.TestareFără avertismente★ 1,1 K↓ —
- scouthuytieu/COG-second-brainEvaluate URLs and tools — check vault coverage, assess relevance, recommend save or skipAlteleFără avertismente★ 1,3 K↓ —
- crossposthashgraph-online/awesome-codex-pluginsMulti-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.MarketingFără avertismente★ 1,5 K↓ —
- reviewhashgraph-online/awesome-codex-pluginsUse before merge, after subagents, or for spec/plan review.InginerieFără avertismente★ 1,5 K↓ —
- mcp-server-builderalirezarezvani/claude-skillsUse when exposing an API as an MCP server or scaffolding a new MCP server in Python or TypeScript, before hand-writing tool wrappers. Generates tools from OpenAPI with openapi_to_mcp.py and validates them with mcp_validator.py.RedactareFără avertismente★ 29,3 K↓ —
- podc-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when building the evidence for an ACM PODC paper — where "evidence" is a proof, not a benchmark. Covers matching upper and lower bounds, tightness arguments, model and assumption stress-tests, adversary-strength calibration, and the honest, clearly-optional role of any simulation in a distributed-computing-theory paper.TestareFără avertismente★ 1,4 K↓ —
- ui-design-systemalirezarezvani/claude-skillsUse when building a design system: tokens, component docs, responsive scales or developer handoff. Generates tokens with design_token_generator.py.DesignFără avertismente★ 29,3 K↓ —
- weekly-checkinhuytieu/COG-second-brainCross-domain pattern analysis and strategic reflection for weekly reviewInginerieFără avertismente★ 1,3 K↓ —
- comprehensive-analysishuytieu/COG-second-brainDeep-dive 7-day analysis across all data sources for weekly reviews, board prep, and strategic planningPlanificareFără avertismente★ 1,3 K↓ —Apare și în 1 alt depozit
- icml-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when stress-testing ICML experimental evidence before submission or rebuttal, including strong tuned baselines, mechanism-isolating ablations, seed variance and confidence intervals, compute disclosure, data leakage and split construction, reproducibility, negative results, and fit to ICML soundness, originality, and significance scoring.TestareFără avertismente★ 1,4 K↓ —
peft-fine-tuning
OpenRaiser/NanoResearch
ProductivitateActualizat 9 oct. 2026
De la autor
Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need to train <1% of parameters with minimal accuracy loss, or for multi-adapter serving. HuggingFace's official library integrated with transformers ecosystem.
Instalare
npx skills add OpenRaiser/NanoResearch --skill peft-fine-tuning -a claude-code
Se instalează în .claude/skills/peft-fine-tuning/ · 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 instrucțiuniFolosește rețeauaLicență: MIT
Verificări de siguranță pe SKILL.md
Niciun avertisment.
De ce 88
Securitate100
Proveniență78
Întreținere100
Licență100
Adopție50
Fișiere (3)
- SKILL.md
- references/advanced-usage.md
- references/troubleshooting.md