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 11 ore
49.492 de skill-uri
- code-completeciembor/agent-rules-booksApply Steve McConnell-inspired construction rules when implementing routines, variables, classes, control flow, defensive code, or tests.InginerieFără avertismente★ 3,2 K↓ —
- compare-optionsnano-muse/nanoMuseCompare two to five options (products, plans, places, tools, offers) on the criteria that matter to the user, in a table the user can re-weight, with a recommendation. Use when the user asks which to pick, for a comparison, or "X vs Y".PlanificareFără avertismente★ 3,2 K↓ —
- ap-janitorSpielewoy/autoprompt-skillReport the compatibility redirect to `C0`; this retired role cannot perform new work.AlteleFără avertismente★ 1,2 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↓ —
- 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↓ —
- threat-detectionalirezarezvani/claude-skillsUse when hunting threats, sweeping IOCs or looking for anomalies in logs and telemetry. Ranks ATT&CK-mapped signals and z-score anomalies with threat_signal_analyzer.py.AlteleFără avertismente★ 29,3 K↓ —
- work-with-creators-brief-writergooseworks-ai/goose-skillsWrites a one-page brief for one creator you have already picked: hook ideas in their format, at most three approved must-say lines, never-says, the disclosure for their platform, deliverables, timeline, the usage-rights ask and two examples. Adds a short first-message draft (gift and paid versions) for you to send. Use alone when you already have the creator, their best fitting post and the goal; otherwise run work-with-creators.RedactareFără avertismente★ 1,3 K↓ —
- onboardhashgraph-online/awesome-codex-pluginsUse when taking over an existing codebase that has no living document. Produces a factual record of what already exists.AlteleFără avertismente★ 1,5 K↓ —
- functionshashgraph-online/awesome-codex-pluginsBuild and prove durable studio functions for record, order, schedule and tool events, with concurrent database updates and event feeds.DateFără avertismente★ 1,5 K↓ —
- mcp-mocked-markeralibaba/skill-upMCP mocked marker smoke skill used by skill-up e2e tests.TestareFără avertismente★ 1,4 K↓ —
- public-relationskostja94/marketing-skillsWhen the user wants to plan PR, write a press release, or manage media relations. Also use when the user mentions "public relations," "PR," "press release," "media relations," "news release," "journalist," "media coverage," "product announcement," or "earned media." For on-site "As Seen In" or logos page, use press-coverage-page-generator.RedactareFără avertismente★ 1,1 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↓ —Apare și în 1 alt depozit
- integrated-marketingkostja94/marketing-skillsWhen the user wants to plan integrated marketing, coordinate channels, or clarify program vs channel vs campaign. Also use when the user mentions "IMC," "integrated marketing," "channel mix," "marketing program," "PESO model," "integrated marketing communications," "omnichannel marketing," "channel strategy," "marketing mix," or "cross-channel campaign." For content planning, use content-marketing.MarketingFără avertismente★ 1,1 K↓ —
- rework-loophashgraph-online/awesome-codex-pluginsStructured rework with git blame attribution for failed goal iterations. Maps failures to responsible changes and routes targeted fix briefs.InginerieFără avertismente★ 1,5 K↓ —
- ap-plannerSpielewoy/autoprompt-skillReport the compatibility redirect to `ap-roadmap-author`; this retired role cannot perform new work.PlanificareFără avertismente★ 1,2 K↓ —
- train-sentence-transformershuggingface/skillsTrain or fine-tune sentence-transformers models across `SentenceTransformer` (bi-encoder, dense or static embedding model for retrieval, similarity, clustering, classification, paraphrase mining, dedup, multimodal), `CrossEncoder` (reranker, pair scoring for two-stage retrieval / pair classification), `SparseEncoder` (SPLADE, sparse embedding model for learned-sparse retrieval), and `MultiVectorEncoder` (ColBERT / late-interaction, per-token embeddings scored with MaxSim). Covers loss selection, hard-negative mining, evaluators, distillation, LoRA, Matryoshka, and Hugging Face Hub publishing. Use for any sentence-transformers training task.OficialProductivitateFără avertismente★ 11,3 K↓ —
- huggingface-paper-publisherhuggingface/skillsPublish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional markdown-based research articles.OficialȘtiințăFără avertismente★ 11,3 K↓ —
- chi-review-processbrycewang-stanford/Awesome-Journal-SkillsUse when interpreting the ACM CHI Papers review pipeline — 1AC and 2AC roles, the A/ARR/RR/RRX/X recommendation scale, desk-reject and rubric-based assisted desk-reject screening, the revise-and-resubmit threshold, round-2 PC decisions — and what each stage means for authors.InginerieFără avertismente★ 1,4 K↓ —
- huggingface-community-evalshuggingface/skillsRun evaluations for Hugging Face Hub models using inspect-ai and lighteval on local hardware. Use for backend selection, local GPU evals, and choosing between vLLM / Transformers / accelerate. Not for HF Jobs orchestration, model-card PRs, .eval_results publication, or community-evals automation.OficialAlteleFără avertismente★ 11,3 K↓ —
- huggingface-vision-trainerhuggingface/skillsTrains and fine-tunes vision models for object detection (D-FINE, RT-DETR v2, DETR, YOLOS), image classification (timm models — MobileNetV3, MobileViT, ResNet, ViT/DINOv3 — plus any Transformers classifier), and SAM/SAM2 segmentation using Hugging Face Transformers on Hugging Face Jobs cloud GPUs. Covers COCO-format dataset preparation, Albumentations augmentation, mAP/mAR evaluation, accuracy metrics, SAM segmentation with bbox/point prompts, DiceCE loss, hardware selection, cost estimation, Trackio monitoring, and Hub persistence. Use when users mention training object detection, image classification, SAM, SAM2, segmentation, image matting, DETR, D-FINE, RT-DETR, ViT, timm, MobileNet, ResNet, bounding box models, or fine-tuning vision models on Hugging Face Jobs.OficialMediaFără avertismente★ 11,3 K↓ —
- hf-cloud-python-env-setuphuggingface/skillsSet up an isolated Python environment for SageMaker / AWS work, with the right Python version and current boto3. Use this skill whenever Python code will be executed for a SageMaker deployment, training job, or any AWS automation — including when about to run `pip install`, when about to invoke `boto3`, when creating or activating a virtualenv, or when the user asks to "set up the environment". Never use system Python and never `pip install` into it. Always isolate. This skill prevents the most common failure modes: wrong Python version, dependency conflicts, and stale SDKs.OficialInginerieFără avertismente★ 11,3 K↓ —
- gentle-ai-work-unit-commitsGentleman-Programming/gentle-shellPlan commits as reviewable work units. Trigger: implementation, commit splitting, chained PRs, or keeping tests and docs with code.TestareFără avertismente★ 1,6 K↓ —
- cloudbase-agentActualizatTencentCloudBase/CloudBase-AI-ToolkitBuild and deploy AI agents with CloudBase Agent SDK (TypeScript & Python). Implements the AG-UI protocol for streaming agent-UI communication. Use when deploying agent servers, using LangGraph/LangChain/CrewAI adapters, building custom adapters, understanding AG-UI protocol events, or building web/mini-program UI clients. Supports both TypeScript (@cloudbase/agent-server) and Python (cloudbase-agent-server via FastAPI).DevOpsFără avertismente★ 1,2 K↓ —Apare și în 5 alte depozite
- gentle-ai-skill-registryGentleman-Programming/gentle-shellTrigger: update skills, skill registry, actualizar skills, after skill changes. Index available skills by trigger and path.AlteleFără avertismente★ 1,6 K↓ —
interview-me
mohitagw15856/pm-claude-skills
PlanificareActualizat acum 18 ore
De la autor
Elicit the real requirements by interviewing the requester BEFORE building or writing anything — one question at a time, until the brief is buildable. Use when a request is vague ('make me a dashboard', 'write something for the board'), when past deliverables missed the mark, or when the user says 'interview me' / 'ask me questions first'. Produces a validated brief: goal, audience, constraints, success criteria, and explicit non-goals — then, and only then, the work.
Instalare
npx skills add mohitagw15856/pm-claude-skills --skill interview-me -a claude-code
Se instalează în .claude/skills/interview-me/ · 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
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De ce 88
Securitate100
Proveniență78
Întreținere100
Licență100
Adopție51
Fișiere (1)
- SKILL.md