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.
49.492 de skill-uri din 2.391 de depozite · actualizat acum 4 ore
49.492 de skill-uri
- 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↓ —
- dpa-reviewmohitagw15856/pm-claude-skillsRead a Data Processing Agreement before you sign it — sub-processors, transfer mechanism, breach-notice window, deletion, audit rights — in plain language with 🔴🟡🟢 risk. Use when asked to review a DPA, check a data processing agreement, is this DPA safe to sign, or what am I agreeing to on data. Produces the plain-English summary, the risk-ranked findings, the missing-clause checklist, and the questions to send back before signature.InginerieFără avertismente★ 1,5 K↓ —
- tech-radarmohitagw15856/pm-claude-skillsBuild a technology radar for an engineering team, categorizing technologies into Adopt/Trial/Assess/Hold quadrants following the ThoughtWorks Tech Radar format. Use when asked to create a tech radar, evaluate the team's technology landscape, categorize tools and frameworks, or establish a technology strategy. Produces a full tech radar with quadrant tables, individual blip rationales, a decision trail, and a maintenance process guide.AlteleFără avertismente★ 1,5 K↓ —
- cost-breakdownhoangsonww/Claude-Code-Agent-MonitorBreak down Claude Code costs using the Agent Monitor pricing engine. Shows per-model costs (input, output, cache_read, cache_write at $/Mtok rates), per-session costs, daily trends, and compaction baseline token recovery. Use when analyzing spending, comparing model costs, or planning budgets.PlanificareFără avertismente★ 1,1 K↓ —
- fixing-flaky-testsamplifthq/openmeldGuides an agent through reproducing, root-causing, fixing, and validating flaky tests in the PostHog monorepo. Use when a test fails intermittently in CI but passes on rerun or locally, when `hogli ci:insights` or the debugging-ci-failures skill classifies a failure as a flaky test, when given a GitHub Actions URL for a flaky job, when asked to check Trunk Flaky Tests for a test, PR, or master, or when asked to deflake, stabilize, or fix a flaky Jest, pytest, or Playwright test. Core discipline: reproduce locally before changing anything, fix the root cause (never mask it with sleeps, retries, or bigger timeouts), and prove the fix with an N-run validation loop sized to the observed failure rate. Stabilizing is not the only valid outcome — the skill also gates whether the test should exist, so deleting a test that catches nothing real, or re-leveling one that flakes because of the level it runs at, are first-class endings.TestareFără avertismente★ 1,4 K↓ —
- minutes-recordsilverstein/minutesStart or stop recording a meeting, call, or voice memo. Use this whenever the user says "record", "start recording", "capture this meeting", "stop recording", "I'm in a meeting", "take notes on this call", or wants to transcribe live audio. Also use when they ask about recording status or want to know if something is being recorded.MediaFără avertismente★ 1,6 K↓ —Apare și în 1 alt depozit
- 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↓ —
- second-brain-changed-my-mindundefined-ui/second-brain-osTrace where the user's recorded position on something has shifted: superseded claims, contradictions between sources of different dates, and what evidence moved them. Use this skill when the user asks what they have changed their mind about, how their thinking on a topic developed, what they used to believe, or wants a quarterly look back at their own positions. Do NOT use for finding contradictions between sources with no time dimension, or for a current-state answer.AlteleFără avertismente★ 1,3 K↓ —
- anomaly-alerthoangsonww/Claude-Code-Agent-MonitorIdentify anomalous sessions using Agent Monitor data — cost outliers from the pricing engine, token anomalies (cache miss spikes, compaction baseline surges), unusual event type ratios (PreToolUse/PostToolUse gaps, APIError clusters), behavioral deviations from workflow intelligence (complexity score outliers, error propagation anomalies), and sessions with abnormal metadata (extreme turn_count, high thinking_blocks, zero turn_duration).ProductivitateFără avertismente★ 1,1 K↓ —
- session-debughoangsonww/Claude-Code-Agent-MonitorDebug a specific session by inspecting its full event chain (PreToolUse, PostToolUse, Stop, SubagentStop, Compaction, APIError, TurnDuration, Notification events), agent hierarchy (recursive parent/child tree with subagent_type and depth), token usage with compaction baselines, workflow intelligence data (orchestration DAG, error propagation by depth), and session metadata (thinking_blocks, turn_count, total_turn_duration_ms).InginerieFără avertismente★ 1,1 K↓ —
- workflow-reporthoangsonww/Claude-Code-Agent-MonitorCreate a workflow-intelligence report from CCAM orchestration, delegation, tool flow, concurrency, complexity, compaction, and fleet-run data. Use for architecture reviews, agent-fleet analysis, or workflow optimization reports.ProductivitateFără avertismente★ 1,1 K↓ —
- cost-alerthoangsonww/Claude-Code-Agent-MonitorReview the configured cost alert rules and the alerts currently fired on the Agent Monitor dashboard, then explain exactly what tripped and why. Uses /api/alerts (fired feed) and /api/alerts/rules (definitions). Use when checking spend alerts or asking why a cost alarm went off.InginerieFără avertismente★ 1,1 K↓ —
- cto-advisoralirezarezvani/claude-skillsCTO decisions: tech debt, architecture direction, scaling the engineering team, technology evaluation, DORA metrics. Use whenever the user asks whether to rewrite, how to grow the eng team or which tech to bet on.PlanificareFără avertismente★ 29,3 K↓ —
- oma-skill-creationfirst-fluke/oh-my-agentCreate or revise OMA skills and their references. Use for skill routing, execution contracts, conditional loading, and authoring validation.AlteleFără avertismente★ 1,4 K↓ —
- marketing-opsalirezarezvani/claude-skillsUse when a marketing request spans several skills (a campaign across content, SEO, CRO and channels) or it is unclear which skill fits. Routes and sequences the work and tracks it with campaign_tracker.py.MarketingFără avertismente★ 29,3 K↓ —
- video-skillsNouhashgraph-online/awesome-codex-pluginsFinds the right agent skill for an AI video, image, voice or music job on varg how to (varg.ai/how-to, 2,000+ checked skills and tutorials: UGC ads, product videos, music videos, captions, talking avatars, podcasts, faceless channels, explainers, launch videos, chat-story ads, dubbing, shorts from long videos) and shows the visual options before anything is generated. Use when someone asks to make, edit, caption, voice, dub or animate a video, asks "which skill should I use", "find a skill for", "how do I make a ... video", or wants images, voiceover or music for a video, and no installed skill already covers that format; use it before writing a pipeline from scratch or searching registries. Not for running a generation itself (use varg-ai), not for formats with their own varg skill (varg-music-video, varg-character-keynote, varg-consistent-characters, varg-character-design, varg-podcast-video, varg-product-hook, varg-dropship-reel, varg-previz), and not for non-media coding tasks.MediaFără avertismente★ 1,5 K↓ —
- chaos-engineeringalirezarezvani/claude-skillsUse before running a chaos experiment, gameday or fault injection, or after one to write it up. Designs it with steady state and abort criteria in experiment_designer.py, sizes the blast radius with blast_radius_calculator.py and drafts the postmortem.RedactareFără avertismente★ 29,3 K↓ —
- conext-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning an ACM CoNEXT campaign backward from a deadline, covering the choice between the December and June submission cycles, the mandatory registration step, the one-shot major-revision window, the reproducibility badge opt-in due at submission, PACMNET camera-ready, and presentation — all on CoNEXT's distinctive two-cycles-per-year calendar.ProductivitateFără avertismente★ 1,4 K↓ —
- colt-camera-readybrycewang-stanford/Awesome-Journal-SkillsUse when converting an accepted COLT (Conference on Learning Theory) paper into its PMLR proceedings version, covering de-anonymization, acknowledgements and funding restoration, appendix consolidation into the archival PDF, PMLR volume metadata and BibTeX hygiene, rebuttal-promised edits, and presentation logistics.DocumenteFără avertismente★ 1,4 K↓ —
- cikm-related-workbrycewang-stanford/Awesome-Journal-SkillsUse when positioning a CIKM submission against three literatures at once — retrieval, mining, and knowledge management/databases — building the boundary-work paragraph, guarding against misattributing SIGIR/KDD/ICDM classics to CIKM, and handling preprints under the arXiv-declaration and dual-submission rules.ȘtiințăFără avertismente★ 1,4 K↓ —
- colm-related-workbrycewang-stanford/Awesome-Journal-SkillsUse when positioning a COLM paper inside the fastest-moving literature in ML — triaging arXiv-heavy citations, handling concurrent work fairly, citing model and dataset artifacts correctly, distinguishing COLM's three-edition archive from adjacent venues' archives, and keeping self-citation double-blind safe.ȘtiințăFără avertismente★ 1,4 K↓ —
- cav-writing-stylebrycewang-stanford/Awesome-Journal-SkillsUse when revising a CAV (Computer Aided Verification) paper for a precise verification contribution on the first page, an explicit soundness/completeness statement, theorem-and-proof discipline in the LNCS page budget, fair benchmark claims, honest scope and limits, and double-blind wording for the anonymized categories.RedactareFără avertismente★ 1,4 K↓ —
- devils-twinmohitagw15856/pm-claude-skillsThe strongest possible case AGAINST what you just wrote — argued to win, not to check a box. Use when a document is about to ship and everyone around it already agrees: the twin writes the opposition's best memo (not a critique of yours), so you meet the real counter-argument before your audience does. Produces the opposing memo, the map of which of your claims it defeats/dents/leaves standing, and the pre-emption paragraph worth adding.RedactareFără avertismente★ 1,5 K↓ —
- colt-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when deciding whether a COLT (Conference on Learning Theory) paper needs numerical content at all — COLT has no experiments requirement — and, when numerics genuinely help, designing small illustrative simulations that visualize a proved bound, a separation, or a phase transition without diluting the theory.MediaFără avertismente★ 1,4 K↓ —
gentle-ai-branch-pr
Gentleman-Programming/gentle-shell
De la autor
Create Gentle AI pull requests with issue-first checks. Trigger: creating, opening, or preparing PRs for review.
Instalare
npx skills add Gentleman-Programming/gentle-shell --skill gentle-ai-branch-pr -a claude-code
Se instalează în .claude/skills/gentle-ai-branch-pr/ · 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.
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- SKILL.md