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 5 ore
49.409 skill-uri
- testing-livekit-agentsfcakyon/claude-codex-settingsWrites turn-level tests for a LiveKit agent in the user's normal test suite: pytest (Python) or Vitest (Node.js). Use when the user asks to "write tests for my agent", "add a test for this tool", "test the handoff", "pin this bug", "why does my agent test fail", or after building or changing agent behavior that needs regression coverage. Covers the SDK's test session harness, assertions on messages, tool calls and handoffs, LLM judging of a reply against an intent, mocking tools, multi-turn tests, and judging whole conversations with the built-in judges. For interactive poking use debugging-livekit-agents. For grading whole conversations at scale use running-livekit-simulations.TestareFără avertismente★ 1,2 K↓ —Apare și în 1 alt depozit
- brainstormhashgraph-online/awesome-codex-pluginsExplore ideas, compare approaches, and produce a validated spec before planning. Use when the user describes what to build, asks how to approach something, proposes a new feature or design change, or needs to explore options before implementation.PlanificareFără avertismente★ 1,5 K↓ —
- oma-voicefirst-fluke/oh-my-agentGenerate or transcribe speech with Voicebox or VoiceStudio, or process existing audio locally. Use for narration, transcripts, timed speech, and loudness conversion; video editing uses oma-video.MediaFără avertismente★ 1,4 K↓ —
- researchtaishi-i/awesome-japanese-nlp-resourcesAnalyze current trends and challenges in Japanese NLP for a topic. Surveys the existing awesome-japanese-nlp-resources dataset and augments it with up-to-the-minute web research to produce a combined trend + issue report. Use only when the user explicitly wants a trend/landscape report, a challenges/limitations report, or a general research overview of a Japanese NLP topic (this combines the bundled dataset with live web research). Trigger phrases include '日本語LLMの最新トレンド', '〜の動向をまとめて', '最近の日本語NLPの流れ', '日本語LLMの課題', '〜の問題点・限界', '未解決の論点', 'trend report on Japanese embeddings', 'latest Japanese speech models', 'challenges in Japanese NER', 'limitations of Japanese embeddings'. For a simple lookup use the search skill; this one runs web research.ȘtiințăFără avertismente★ 1 K↓ —
- discovertaishi-i/awesome-japanese-nlp-resourcesGiven a Japanese NLP GitHub repo/model/dataset (URL / owner/repo / tool name) OR a topic, find what's already in awesome-japanese-nlp-resources and discover related resources NOT yet listed (contribution candidates). Mines the bundled dataset, then expands via web research across GitHub and Hugging Face. Use when the user names a SPECIFIC repository, model, or tool and wants alternatives/equivalents, OR wants to discover Japanese NLP resources for a topic that are NOT yet in the list, OR wants to prepare a contribution. Trigger phrases include 'mecabに似たツール', 'fugashiの代替', 'alternatives to fugashi', 'repos like manga-ocr', 'what else is like sudachi', 'リストに無い新しい日本語NLP', 'awesome-japanese-nlpに追加できそうな', '最近公開された日本語NLPツール', 'find unlisted Japanese NLP repos', 'new Japanese models on Hugging Face', 'contribute a new resource'. For a simple lookup of what already exists, use the search skill instead.ȘtiințăFără avertismente★ 1 K↓ —
- redis-clusteringredis/agent-skillsRedis Cluster and replication guidance covering hash tags for multi-key operations, avoiding CROSSSLOT errors, and reading from replicas to scale read-heavy workloads. Use when designing keys for a sharded Redis Cluster, debugging CROSSSLOT errors on MGET / SDIFF / pipelines, configuring a multi-key transaction in a cluster, or routing reads to replicas for caches, analytics, or dashboards.OficialDateFără avertismente★ 172↓ —Apare și în 1 alt depozit
- comparetaishi-i/awesome-japanese-nlp-resourcesCompare several Japanese NLP libraries, models, or datasets for a keyword (a specific tool name, or a function/task like '形態素解析') across a handful of criteria chosen for that comparison, rendered as a ○/△/✕ table. Use when the user wants a side-by-side comparison of multiple Japanese NLP tools/libraries/datasets, not just the single best one. Trigger phrases include 'X と Y と Z を比較して', '形態素解析ライブラリを比較', 'MeCab と Sudachi どっちがいい', 'どのツールを使うべき', 'compare japanese tokenizers', 'mecab vs sudachi vs janome', 'which embedding model should I use', '日本語NERライブラリの比較表', 'pros and cons of japanese OCR tools'. For a single ranked list use search; for alternatives to one specific tool (or contribution candidates) without a multi-axis table, use discover.MediaFără avertismente★ 1 K↓ —
- eu-ai-actSushegaad/Claude-Skills-Governance-Risk-and-ComplianceEU AI Act (Regulation (EU) 2024/1689) compliance advisor — risk classification across all four tiers, all 9 prohibited practices (Art. 5, including the nudification/CSAM prohibition from Dec 2, 2026), all 8 Annex III high-risk use case areas, provider and deployer obligations (Arts. 9–17, 26), GPAI model obligations including the July 2025 Code of Practice (Arts. 51–55), conformity assessment and CE marking (Arts. 43–48), EU AI database registration, Art. 50 transparency (chatbots, synthetic media, AI-generated content), governance (AI Office, AI Board), penalties (Art. 99), confirmed phase-in timeline (Digital Omnibus, Reg. (EU) 2026/1744, in force July 27, 2026: Annex III deferred to Dec 2, 2027; Annex I to Aug 2, 2028), and cross-framework mapping to ISO 42001, NIST AI RMF, and GDPR. Use for any EU AI regulation, AI system classification, or AI compliance question. Current as of August 2026. GPAI enforcement powers active since August 2, 2026.DevOpsFără avertismente★ 1 K↓ —
- section-508Sushegaad/Claude-Skills-Governance-Risk-and-ComplianceExpert Section 508 compliance advisor for US federal ICT accessibility. Use this skill whenever a user asks about Section 508, WCAG 2.0/2.1 AA for federal systems, VPAT or Accessibility Conformance Reports (ACR), accessibility audits, remediation planning, PDF accessibility, web or software accessibility, mobile accessibility, federal procurement accessibility requirements, contractor obligations, undue burden exceptions, assistive technology compatibility, or Section 508 testing. Covers the Revised Section 508 Standards (2018), all WCAG 2.0 Level AA success criteria, the four POUR principles, testing methodologies, and agency compliance workflows. Trigger even if the user doesn't say "skill" — any Section 508 or ICT accessibility question for federal systems should use this skill.TestareFără avertismente★ 1 K↓ —
- oma-pdffirst-fluke/oh-my-agentConvert PDF files to Markdown using opendataloader-pdf. Extracts text, tables, headings, lists, and images with correct reading order. Use for PDF parsing, PDF to Markdown conversion, document extraction, and AI-ready data preparation.DocumenteFără avertismente★ 1,4 K↓ —
- goose-graphics-create-formatgooseworks-ai/goose-skillsCreates a new graphics format spec (custom canvas dimensions + content rules) and publishes it to the Gooseworks library so any agent can render against it. Use when the existing community formats (carousel, story, infographic, slides, poster, chart, tweet, plus community additions) don't fit the user's canvas — e.g., LinkedIn banner 1584×396, story cover 1080×1920, event flyer 8.5×11in. Mirrors goose-graphics-create-style but for formats.DocumenteFără avertismente★ 1,3 K↓ —
- sci-databrycewang-stanford/Awesome-Journal-SkillsUse to build Science's data, code, and materials availability — mandatory deposition in approved repositories, accession numbers, a compliant data-availability statement, and materials/reagent sharing.ȘtiințăFără avertismente★ 1,4 K↓ —
- cell-databrycewang-stanford/Awesome-Journal-SkillsUse to build Cell's data and code deposition plan and the Data and Code Availability statement that lives inside STAR Methods Resource Availability — approved repositories, accessions/DOIs at submission, and Cell's three-bullet availability format with Mendeley Data as Elsevier's default.PlanificareFără avertismente★ 1,4 K↓ —
- verify-cli-runreticlehq/reticleProve 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.InginerieFără avertismente★ 1,3 K↓ —
- research-audience-people-and-contactsgooseworks-ai/goose-skillsFor a list of companies, picks 1-3 current people per company in different buying roles, confirms each title with a dated source, finds a public contact route, labels email status honestly and flags regions with contact rules. Never contacts anyone. Use alone when you already have a vetted company list and the buyer titles; otherwise run research-audience.ȘtiințăFără avertismente★ 1,3 K↓ —
- cell-rebuttalbrycewang-stanford/Awesome-Journal-SkillsUse after Cell reviews arrive to triage the decision, prioritize the (often substantial) new experiments by impact × feasibility, and draft a point-by-point response that is respectful, evidence-led, and closes the "completeness" gaps reviewers demand. Do not run before the experiments and revision are actually done.AlteleFără avertismente★ 1,4 K↓ —
- lancet-fitbrycewang-stanford/Awesome-Journal-SkillsUse when scoping a project and before any writing, to stress-test whether a study clears The Lancet's bar — clinically or public-health important, globally relevant, and likely to change practice or policy, often with an equity lens. Decides The Lancet vs a Lancet family title vs another general medical journal.TestareFără avertismente★ 1,4 K↓ —
- vis-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning an IEEE VIS project timeline from area fit through the abstract and full-paper deadlines, the two-phase review, the conditional-accept second round, the IEEE TVCG camera-ready, the Graphics Replicability Stamp, and presentation, with backward-planning offsets for a visualization paper and honest handling of the annual cycle and the second-round revision window.ProductivitateFără avertismente★ 1,4 K↓ —
- itcs-workflowbrycewang-stanford/Awesome-Journal-SkillsUse to plan an ITCS campaign end to end on its single annual cycle — backward from the early-September deadline through the no-rebuttal review, the November notification, the LIPIcs camera-ready, and the January conference with its Graduating Bits session.ProductivitateFără avertismente★ 1,4 K↓ —
- officehashgraph-online/awesome-codex-pluginsRun a Homie studio's live games from its back office - who is playing right now in every room (players, bots, round, uptime), announce a line to players in-game, kick or mute a player, close a room, set players per room, and each game's launch state (private, invite-only beta with invite links and codes, public). The owner confirms anything that takes something away with one tap. Use when someone asks who is playing, wants to talk to their players, remove or silence a player, run a closed or invite-only beta, hide or launch a game, make invite codes, or run the studio's Lounge (its community room, with play nights, moderators and kept chat).AlteleFără avertismente★ 1,5 K↓ —
- advisehashgraph-online/awesome-codex-pluginsGet a senior-style review of code, a planned change, a library choice, or a fix idea -- without writing a spec document. Multi-turn chat, grounded in your actual code. Use when you want a quick second opinion, not a plan.RedactareFără avertismente★ 1,5 K↓ —
- render-narrated-ugc-wardrobe-stitchgooseworks-ai/goose-skillsAssemble a narrated-UGC "stitch reply" ad from a config: one voiceover carries a verbatim testimonial while about 30 short clips (one creator across about 5 outfits and 3 settings, plus product B-roll) are trimmed to windows cut from the voiceover's word timings and joined. The voiceover sits over a ducked music bed, word-by-word captions run throughout, a landing-page scroll is animated from a screenshot, and the brand's real end card closes it (never AI-rendered text). Free, deterministic assembly using the shared stitch-videos-ffmpeg helper; the voiceover, creator stills and clips come from create-vo-elevenlabs, create-image-gpt-image-fal, create-image-fal and create-video-fal. Use for the narrated-ugc-wardrobe-stitch format.MediaFără avertismente★ 1,3 K↓ —
- resolve-relative-timesno-ai/sno-stationUnderstand temporal meaning in context without performing calendar arithmetic.ProductivitateFără avertismente★ 1,1 K↓ —
- render-stopmotion-hand-swatch-cyclegooseworks-ai/goose-skillsAssemble a stop-motion hand-swatch-cycle product-demo ad from a config — a sequence of still PLATES (one hand swiping a single-barrel product across a test surface, the barrel + swatch changing per plate while the hand, background, crop, and lighting stay locked) is PNG→mp4 loop-encoded at each plate's own stop-motion hold (fast motion frames 150–250ms, per-shade ~380ms, hero beats 1100–1800ms), concat-demuxed with HARD cuts into a silent master, closed on a Playwright HTML-rendered branded end card (serif tagline + sans subtitle + real logo SVG over a hero BG, never AI-rendered text), and muxed with a pre-sourced music track playing under the end card with a fade tail (no VO). This is the FREE deterministic assembly stage (loop-encode + concat-demux + end-card render + music mux); the master-anchor plate, shade plates, and end-card BG come from create-image-gpt-image-fal and the track from create-music-elevenlabs. Use for the stopmotion-hand-swatch-cycle format.MediaFără avertismente★ 1,3 K↓ —
my-energy-map
mohitagw15856/pm-claude-skills
PlanificareActualizat acum 15 ore
De la autor
Map your real energy through the day and week, then match your tasks to it — hard things when you're sharp, easy things when you're not. Use when asked when should I do my hard work, map my energy, why am I so unproductive at certain times, or schedule around my focus. Produces a picture of your energy peaks, troughs, and patterns from your own observations, a task-to-energy matching plan (deep work at peaks, admin at troughs), the traps you're currently falling into, and a realistic daily shape — because fighting your natural rhythm wastes your best hours on your worst tasks.
Instalare
npx skills add mohitagw15856/pm-claude-skills --skill my-energy-map -a claude-code
Se instalează în .claude/skills/my-energy-map/ · 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
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De ce 88
Securitate100
Proveniență78
Întreținere100
Licență100
Adopție51
Fișiere (1)
- SKILL.md