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.
49.479 de skill-uri din 2.391 de depozite · actualizat acum 23 de minute
49.479 de skill-uri
- hf-cloud-serving-image-selectionhuggingface/skillsPick the right serving container for a SageMaker model deployment and find its current image URI. Use this skill whenever about to deploy a model to a SageMaker endpoint and an image URI needs to be chosen — including when the user says "deploy this LLM", "host this HuggingFace model", "serve this fine-tuned model", "deploy this embedding model", "host a reranker", "serve a sentence-transformers model", or when about to hardcode any container URI in deployment code. HuggingFace-curated Deep Learning Containers are ALWAYS preferred: HuggingFace vLLM (LLMs and generative rerankers), HuggingFace vLLM-Omni (multimodal), TEI (embeddings/cross-encoder rerankers), HF Inference Toolkit (other transformers). Generic images (AWS vLLM, DJL-LMI, SGLang) are used only when no HuggingFace image is compatible — never merely because they carry a newer version. Never hardcode a container URI from memory and never default to TGI. Prevents stale-image failures and wrong-region URIs.OficialMediaFără avertismente★ 11,3 K↓ —
- dac-camera-readybrycewang-stanford/Awesome-Journal-SkillsUse when preparing the final ACM/IEEE Design Automation Conference (DAC) Research-Manuscript camera-ready after acceptance, covering de-anonymization, restoring author/affiliation/acknowledgement/funding blocks, the ACM copyright form and rights stamp, the April proceedings deadline, ACM Digital Library metadata and archival-flow checks, and the still-fixed 6+1 page budget.DesignFără avertismente★ 1,4 K↓ —
- cikm-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when auditing a CIKM submission for EasyChair readiness across the five tracks, covering page budgets with appendices counted inside, the mandatory GenAI Usage Disclosure section, author-reviewer nomination, double-blind rules with arXiv declaration, the abstract-gate authorship freeze, and desk-reject triggers.ȘtiințăFără avertismente★ 1,4 K↓ —
- colt-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when auditing a COLT (Conference on Learning Theory) submission for CMT readiness, the 12-page PMLR-format main body, single-PDF assembly with unlimited appendix, double-anonymous formatting, the parallel-submission ban covering journals and proceedings venues, and the ordered final-week checks before the AoE deadline.DocumenteFără avertismente★ 1,4 K↓ —
- ecai-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when auditing an ECAI submission for readiness — the abstract-then-full-paper two-deadline flow, the tight 7-page body budget, double-blind anonymity, the correct template/publisher regime (ecai.cls/FAIA for a standalone ECAI vs ijcai.sty/IJCAI proceedings for the joint IJCAI-ECAI 2026), the per-author submission cap, the ethics statement, and desk-reject triage before the AoE cutoff.ȘtiințăFără avertismente★ 1,4 K↓ —
- fse-camera-readybrycewang-stanford/Awesome-Journal-SkillsUse when preparing an accepted ESEC/FSE paper for its PACMSE camera-ready, covering de-anonymization, the ACM Primary Article Template and PACMSE journal metadata (DOI, ORCID, CCS concepts), integrating reviewer-required changes without scope creep, permanentizing the Data Availability links, and the ACM artifact-badge handoff.ȘtiințăFără avertismente★ 1,4 K↓ —
- goose-video-localgooseworks-ai/goose-skillsMake an approved GooseWorks video when an answer's next_step gives its command.MediaFără avertismente★ 1,3 K↓ —
- emnlp-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning an EMNLP project calendar end to end — choosing the ACL Rolling Review cycle that feeds the conference, backward-planning experiments and annotation to the ARR deadline, scheduling the author response window, deciding commit versus revise-and-resubmit, and mapping camera-ready and Budapest presentation logistics.ProductivitateFără avertismente★ 1,4 K↓ —
- iccv-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when auditing an ICCV submission in the weeks before the early-March deadline, covering OpenReview registration and profile completeness, the single same-day paper-plus-supplement upload, the 8-page inclusive format, the 25-submissions-per-author cap, every-author reviewer enrollment, anonymity and media-embargo rules, and desk-reject triage.ȘtiințăFără avertismente★ 1,4 K↓ —
- make-custom-videogooseworks-ai/goose-skillsCreate a custom video with sourced product accuracy, explicit sound routing and exact-final audiovisual review.MediaFără avertismente★ 1,3 K↓ —
- facct-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning an ACM FAccT project timeline from venue fit through abstract registration, OpenReview submission, the rebuttal window, the new Accept/Revise/Reject revise-and-resubmit round, two-round camera-ready, and in-person presentation, with backward-planning offsets for an interdisciplinary responsible-AI paper and honest handling of the single annual deadline.ProductivitateFără avertismente★ 1,4 K↓ —
- fast-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when auditing a USENIX FAST submission for HotCRP readiness, covering the choice between the Spring and Fall deadlines, abstract registration, the USENIX two-column template and 12-page (long) / 6-page (short) limit excluding references, double-blind anonymization, the artifact-availability story, and desk-reject triage before the AoE cutoff.AlteleFără avertismente★ 1,4 K↓ —
- research-audience-score-segment-qagooseworks-ai/goose-skillsStep of the research-audience playbook: scores and tiers list rows, groups them into segments with an angle each, runs the pre-handover checks and writes the list files. Run research-audience instead; not for direct use.TestareFără avertismente★ 1,3 K↓ —
- using-git-worktreesGanyuanRan/AegisUse when a coding task needs a concurrent checkout, unrelated dirty state blocks safe branch switching, or the user or repository explicitly requires a worktree.InginerieFără avertismente★ 1,4 K↓ —
- anti-entropy-governanceGanyuanRan/AegisUse when touching retiring old logic, collapsing duplicate owners, removing fallbacks, or schema/persistence/source-of-truth boundaries; identify opportunities automatically; destructive execution requires explicit confirmation.AlteleFără avertismente★ 1,4 K↓ —
- goal-framingGanyuanRan/AegisUse when the user explicitly sets an Aegis goal with /aegis-goal, Aegis goal:, or asks to define goal, success evidence, stop condition, or task boundaries before work.ProductivitateFără avertismente★ 1,4 K↓ —
- marketing-pagesdzhng/skillsBest-practice rulebook for a marketing site's pages, organized by page class — campaign landers, product pages, programmatic SEO trees, editorial. Use when writing or updating a landing/marketing page, wiring a campaign lander to an attribution identifier, changing site-wide nav/footer links, touching sitemap/robots/agent-readable surfaces, or auditing a public site's indexing, reachability, and conversion setup.MarketingFără avertismente★ 1,4 K↓ —
- audit-decisionsdzhng/skillsAudit the decisions an implementing agent made, not its diff — a pure audit that traces the session's history into a decisions ledger, changes no code, and never blocks an unsupervised run. Working code still embeds architecture the user never chose; surface it because future work inherits it. Use when the user wants to review the decisions the AI made on their behalf, before merging or committing AI-implemented work, when integrating a delegated subagent's pass, or when a fix "works" but might be a point fix.PlanificareFără avertismente★ 1,4 K↓ —
- iclr-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when auditing an ICLR main-conference submission for OpenReview readiness, double-blind anonymity, page limits, reciprocal reviewing, LLM-use disclosure, dual-submission policy, supplementary material, and desk-reject risk.AlteleFără avertismente★ 1,4 K↓ —
- code-reviewdzhng/skillsReview changed code for naming, stale references, unnecessary complexity, and comment quality. Use after completing implementation work, before committing, or when the user asks to review or audit code.InginerieFără avertismente★ 1,4 K↓ —
- preview-shotsdzhng/skillsOpen image shots (screenshots, snapshot baselines, montages, renders) in ONE macOS Preview window so the user can eyeball them. Use when the user asks to open / show / pull up / review shots in Preview or Finder, or right after producing visual artifacts the user should look at before signing off.MediaFără avertismente★ 1,4 K↓ —
- planning-with-filesOthmanAdi/planning-with-filesPersistent 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.PlanificareFără avertismente★ 27,9 K↓ —
- get-brand-assetsgooseworks-ai/goose-skillsGet company logos, brand colors, fonts, and style guidesAlteleFără avertismente★ 1,3 K↓ —
- hf-cloud-sagemaker-production-defaultshuggingface/skillsCreate a SageMaker endpoint (real-time, real-time scale-to-zero, or async) with autoscaling, CloudWatch alarms, and tagging enabled by default. Use this skill whenever about to create a SageMaker endpoint, write deployment code that calls `create_endpoint`, or finalize a deployment after the image URI and IAM role are known. Provides deploy.py for real-time endpoints, deploy_ic.py for real-time endpoints that scale to zero instances via inference components, and deploy_async.py for async endpoints (also scale-to-zero). This is the last step in the SageMaker deployment workflow. Never generate a bare `create_endpoint` call without these defaults — endpoints without autoscaling or alarms are demos, not deployments.OficialDevOpsFără avertismente★ 11,3 K↓ —
varg-video-editing
hashgraph-online/awesome-codex-plugins
De la autor
Which 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, the varg ffmpeg tool, Rendi), talking-head cleanup (silence and filler cuts from word timestamps: auto-editor, Descript, ElevenLabs Scribe, Groq Whisper), long video to Shorts (OpusClip, or transcript + Gemini + FFmpeg), captions and subtitles (ASS through FFmpeg, Remotion, HyperFrames, Submagic, ZapCap), assembling from a timeline or template (HyperFrames, Remotion, Shotstack, Creatomate), AI edits that restyle, swap people, relight or extend (varg Recast/Relight/ID-V2V, Runway Aleph, Luma Ray, Wan VACE), dubbing and lip sync (HeyGen, ElevenLabs Dubbing, Sync Labs), upscaling, slow motion and background removal (Topaz, SeedVR, Bria), finding moments and QA (Gemini, varg video-analyze, Twelve Labs, VideoDB), and handing the cut to DaVinci Resolve, Premiere or Final Cut. Use when someone asks to edit, cut, trim, shorten, clip, reframe, caption, subtitle
Instalare
npx skills add hashgraph-online/awesome-codex-plugins --skill varg-video-editing -a claude-code
Se instalează în .claude/skills/varg-video-editing/ · 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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Fișiere (3)
- SKILL.md
- references/practices.md
- references/services.md