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 21 de minute
49.450 de skill-uri
- aaai-camera-readybrycewang-stanford/Awesome-Journal-SkillsUse when preparing an accepted AAAI paper for camera-ready source submission to AAAI Press, including proceedings page limits, two-column template compliance, copyright transfer, purchased extra technical pages, deanonymization, registration, oral or poster presentation, and final public artifact release.ȘtiințăFără avertismente★ 1,4 K↓ —
- wacv-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing WACV experiments, covering Applications-track systems evidence (latency, power, robustness under real constraints) versus Algorithms-track matched-baseline novelty, comparative assessment under the deployed condition, uncertainty over seeds and sessions, ablations, and evidence that survives the two-round review.DevOpsFără avertismente★ 1,4 K↓ —
- vldb-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the evaluation of a VLDB paper, covering workload and dataset realism at scale, competitor tuning fairness, scalability curves versus single points, tail-latency and throughput reporting, ablations that isolate the mechanism, and the loss-case disclosure PVLDB reviewers look for first.ȘtiințăFără avertismente★ 1,4 K↓ —
- vis-writing-stylebrycewang-stanford/Awesome-Journal-SkillsUse when revising an IEEE VIS paper for a task-grounded visualization contribution on the first page, a design rationale that ties each visual encoding and interaction to a task, evaluation matched to the contribution type, honest limitations, and disciplined use of the VGTC/TVCG 9+2 page budget for a paper that will be read as an IEEE TVCG journal article.RedactareFără avertismente★ 1,4 K↓ —
- ase-review-processbrycewang-stanford/Awesome-Journal-SkillsUse when reasoning about how an ASE (IEEE/ACM Automated Software Engineering) research submission is evaluated, covering double-anonymous review, the early-rejection stage before rebuttal, the Accept / Revision / Reject outcomes, the criteria-bound revision round, and how ASE's process differs from FSE's PACMSE Major Revision, ICSE's cycles, and ISSTA's rounds.InginerieFără avertismente★ 1,4 K↓ —
- cav-review-processbrycewang-stanford/Awesome-Journal-SkillsUse when reasoning about how a CAV (Computer Aided Verification) submission is evaluated, covering the two-stage reviewing process (two reviews then an early-reject filter, then two more reviews with a rebuttal), the partial double-anonymity by category, the accept/reject outcome, the optional non-conditional artifact evaluation, and how CAV differs from TACAS and FMCAD.InginerieFără avertismente★ 1,4 K↓ —
- atc-review-processbrycewang-stanford/Awesome-Journal-SkillsUse when reasoning about how an ATC (ACM SIGOPS Annual Technical Conference, formerly USENIX ATC) submission is evaluated — the two-round extended-abstract model, the round-one gate by two reviewers, the round-two read by 3-4 reviewers, double-blind reviewing, rebuttal, conditional acceptance with shepherding, and how ATC differs from OSDI/SOSP/NSDI.InginerieFără avertismente★ 1,4 K↓ —
- asplos-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning an ASPLOS campaign across the two-deadline cycle — sequencing evidence building, the September 9, 2026 submission gate, author-response windows, the December 21 notification, Major Revision resubmission six weeks later, artifact evaluation, and the April 2027 conference in Crete, with owners per risk.ProductivitateFără avertismente★ 1,4 K↓ —
- cikm-camera-readybrycewang-stanford/Awesome-Journal-SkillsUse when turning an accepted CIKM paper into its ACM proceedings version inside the short notification-to-camera-ready window, covering de-anonymization, the e-rights and TAPS pipeline into the ACM Digital Library, CCS concepts and metadata, GenAI-disclosure retention, artifact link publication, and Rome presentation logistics.ȘtiințăFără avertismente★ 1,4 K↓ —
- cell-star-methodsbrycewang-stanford/Awesome-Journal-SkillsUse to build Cell's mandatory STAR Methods — the Key Resources Table, the three Resource Availability subsections, Experimental Model and Subject Details, Method Details, and Quantification and Statistical Analysis, in the exact required order.AlteleFără avertismente★ 1,4 K↓ —
- asc-analytics-reportsrorkai/app-store-connect-cli-skillsCollect, download, and verify App Store Connect Analytics reports with asc. Use when users need to discover analytics report requests, select report instances by processing date or granularity, download every segment, or verify downloaded files against Apple's size and MD5 metadata before analysis.DateFără avertismente★ 1,1 K↓ —
- slack-agent-flownanocoai/nanoclawLet an existing Slack agent create new agents that arrive as their own Slack bots — provisioned app, operator DM, and a shared three-way room, hot-started without a host restart.AlteleFără avertismente★ 31,1 K↓ —
- video-translationChatCut-Inc/agent-pluginTranslate, dub, and localize speech in an existing video while optionally preserving speaker voices, generating translated captions, or synchronizing the speaker's lip movements. Use when the user asks for 视频译制、多语言配音、 把视频里的中文变成英文、让视频里的人说另一种语言、保留原音色、翻译声音、 口型同步、translated video, video dubbing, voice translation, or lip-synced localization, as well as traducción de video, doblaje de video, traducir un video, or sincronización labial. This Skill MUST be loaded before composing treatment choices for an ambiguous video-translation request in any language, including a turn that only asks the user to choose a treatment. Do not use when the user only wants subtitles translated, wants an SRT/VTT file, wants text or a script translated before generating a new avatar video, or wants ordinary TTS with a newly selected voice.MediaFără avertismente★ 1 K↓ —
- 02-rl-rewardagentscope-ai/OpenJudgeBuild RL reward signals using the OpenJudge framework. Covers choosing between pointwise and pairwise reward strategies based on RL algorithm, task type, and cost; aggregating multi-dimensional pointwise scores into a scalar reward; pairwise tournament reward for GRPO on subjective tasks (net win rate across group rollouts); generating preference pairs for DPO/RLAIF; and normalizing scores for training stability. Use when building reward models, scoring rollouts for GRPO/REINFORCE, generating preference data for DPO, or doing Best-of-N selection.ProductivitateFără avertismente★ 1,1 K↓ —
- exa-searchhashgraph-online/awesome-codex-pluginsNeural search via Exa MCP for web, code, and company research. Use when the user needs web search, code examples, company intel, people lookup, or AI-powered deep research with Exa's neural search engine.ȘtiințăFără avertismente★ 1,5 K↓ —
- meta-evalagentscope-ai/OpenJudgeUse when the user wants to build an evaluation system for an LLM/agent application but doesn't know where to start — they have traces, prompts, RAG pipelines, or nothing at all. Also use when the user mentions evaluation, eval, benchmarking, testing LLM quality, measuring agent performance, assessing RAG accuracy, or wants to compare prompts/models. This skill is the entry router: it asks diagnostic questions then recommends which sub-skill (local workflow) to use next.TestareFără avertismente★ 1,1 K↓ —
- known-errorsChatCut-Inc/agent-pluginUse when a ChatCut plugin tool call fails or returns an unexpected shape.AlteleFără avertismente★ 1 K↓ —
- verificationChatCut-Inc/agent-pluginVerify that ChatCut edits made from WorkBuddy are present in project state and, when possible, visually correct in the editor or rendered frames.MediaFără avertismente★ 1 K↓ —
- widget-formsChatCut-Inc/agent-pluginUse when ChatCut work in WorkBuddy requires structured user choices or clarification through ordinary chat or a host-native question surface.AlteleFără avertismente★ 1 K↓ —
- tddhashgraph-online/awesome-codex-pluginsUse when implementing or fixing production code with tests.TestareFără avertismente★ 1,5 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↓ —
- content-humanizeralirezarezvani/claude-skillsMake a draft sound less like AI: fix generic, robotic text with rhythm, specifics, personality and brand voice. Use whenever the user says copy sounds like ChatGPT, bland or stiff, or not like them.RedactareFără avertismente★ 29,3 K↓ —
- agenthubalirezarezvani/claude-skillsRun several agents on one task in parallel and keep the best result: faster code, copy variants, research angles. Use whenever the user wants multiple attempts compared or best of N; spawns agents in git worktrees, ranks and merges the winner.ȘtiințăFără avertismente★ 29,3 K↓ —
- varg-video-editinghashgraph-online/awesome-codex-pluginsWhich service to edit an existing video with, and how to edit it without breaking it. A routing guide for ten editing jobs: cut, trim, resize and join (FFmpeg, Rendi), talking-head cleanup (silence and filler cuts), long video to Shorts (OpusClip, or transcript + FFmpeg), captions and subtitles (ASS through FFmpeg, HyperFrames, Submagic), assembling from a timeline or template (HyperFrames, Shotstack), AI edits that restyle, swap people, relight or extend (varg Recast/Relight, Runway Aleph), dubbing and lip sync (HeyGen, ElevenLabs, Sync Labs), upscaling, slow motion and background removal (Topaz, Bria), finding moments and QA (Gemini, Twelve Labs), and handing off to Resolve, Premiere or Final Cut. Use when someone asks to edit, cut, trim, shorten, clip, reframe, caption, subtitle, translate, dub, lip-sync, upscale, restyle or clean up footage they already have, or asks which tool or API to edit video with. Not for making a video from a brief (varg-ai and the format skills).MediaFără avertismente★ 1,5 K↓ —
planning-with-files
OthmanAdi/planning-with-files
De la autor
Persistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; lifecycle hooks inject selected project planning context. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent session records and emits aggregate counts only; --replay may emit bounded nonce-framed excerpts. Optional gated mode can request continuation only when the host supports it and never runs commands declared in Markdown. The skill has no network upload path. Use for research or work needing 5+ tool calls.
Instalare
npx skills add OthmanAdi/planning-with-files --skill planning-with-files -a claude-code
Se instalează în .claude/skills/planning-with-files/ · 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.
La ce are acces
Verificări de siguranță pe SKILL.md
- Include scripturi pe care nu le-am verificatScăzut
De ce 88
Fișiere (16)
- SKILL.md
- plan-inventory.md
- scripts/check-complete.ps1
- scripts/check-complete.sh
- scripts/check-continue.sh
- scripts/init-session.ps1
- scripts/init-session.sh
- scripts/session-catchup.py
- scripts/set-active-plan.ps1
- scripts/set-active-plan.sh
- scripts/sync-ide-folders.py
- templates/analytics_findings.md
- încă 4