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 57 de minute
49.409 skill-uri
- research-marketgooseworks-ai/goose-skillsMarket research and brand watch: which market the brand is in, how big the reachable part is, what's changing, how buyers buy and what they pay, what people are saying now, and what it means for positioning. Use when the marketer asks for market research, "how big is my market", "what's changing in my category", "what do others charge", "what are people saying about us", "is there demand for <idea>", or "watch my brand / tell me if something blows up" (alerts only, risk first). Also writes positioning choices and finished messages ("position my product", "write our positioning"). Researches first, asks only decisions at the end, and saves the output to the brand. Not for who the buyers are and their own words — use research-audience; not for a deep look at rivals — use research-competitors.ȘtiințăFără avertismente★ 1,3 K↓ —
- wiki-summarymohitagw15856/pm-claude-skillsFetch Wikipedia's current summary of any topic with zero API keys — the REST summary endpoint via curl, for answers that need today's article rather than training-data memory. Use when asked what does Wikipedia say about X, get me the current summary of a topic, check a fact against Wikipedia, or has this article changed. Produces the live extract with the article link, disambiguation handling, and a clean separation between what Wikipedia says and what the model adds.ProductivitateFără avertismente★ 1,5 K↓ —
- eli5dzhng/skillsExplain a technical spec or proposed change in plain language: what problem it solves, how the solution works, and every schema change.PlanificareFără avertismente★ 1,4 K↓ —
- offer-lettermohitagw15856/pm-claude-skillsDraft a job offer — the written offer letter and a verbal-offer script. Use when asked to write an offer letter, a job offer, an employment offer, or to prepare to extend/verbal an offer to a candidate. Produces a clear, warm offer letter (role, comp, start, key terms, contingencies, acceptance) plus a verbal-offer call script — flagging that employment terms need HR/legal review. Not legal advice.JuridicFără avertismente★ 1,5 K↓ —
- api-test-planmohitagw15856/pm-claude-skillsPlan tests for an API endpoint or service — functional, negative, and contract. Use when asked to test an API, write API test cases, plan REST/GraphQL endpoint testing, or validate an API contract. Produces an API test plan — per-endpoint cases (status codes, schema, auth, validation, errors), boundary/negative cases, contract checks, and non-functional notes — so the API is verified beyond the happy 200.TestareFără avertismente★ 1,5 K↓ —
- agentlas-cloudagentlas-ai/Agentlas-OSUse when the user types /agentlas-cloud, /agentlas cloud, or /hep-cloud to staff only from the signed-in owner's private Cloud packages.AlteleFără avertismente★ 1,6 K↓ —Apare și în 1 alt depozit
- minutes-tagsilverstein/minutesLightweight outcome tagging for meetings — won, lost, stalled, great, or noise. Use whenever the user says "tag this meeting", "mark that as a win", "that one was a loss", "tag yesterday's call as stalled", "mark this great", "that meeting was noise", "label that meeting", or any time they describe a meeting outcome in passing. Tagging takes 5 seconds and unlocks /minutes-mirror correlation analysis — the more meetings get tagged, the smarter mirror gets at telling the user what behavior patterns lead to wins. Surface this skill any time the user mentions a meeting result, win, loss, or wasted time.AlteleFără avertismente★ 1,6 K↓ —Apare și în 1 alt depozit
- hardware-prdmohitagw15856/pm-claude-skillsWrite a PRD for a physical hardware product — target cost (BOM and landed), industrial design constraints, regulatory certifications, reliability targets, serviceability, packaging, and forecast assumptions. Use when asked to write a hardware PRD, spec a new device, define requirements for a physical product, or kick off an NPI program. Produces a complete hardware PRD with a cost stack, cert matrix, reliability spec, and EVT/DVT/PVT milestone targets.PlanificareFără avertismente★ 1,5 K↓ —
- email-lifecyclegooseworks-ai/goose-skillsLifecycle email, SMS and push: audits the list and deliverability, then writes the flows this kind of business needs first, loadable as-is in your own tool, plus segments, cadence and this week's broadcasts. Never sends anything. Use when: set up my welcome and abandoned-cart emails; trial onboarding or waitlist launch emails; win back lapsed customers; plan this week's emails and texts; push notifications for my app; why are my emails going to spam; plan our Black Friday email and SMS sends; a send went wrong. Not for cold outreach to prospects — use write-outreach; not the editorial newsletter issue — use make-content; not the whole cross-channel Black Friday plan — use plan-campaign.ProductivitateFără avertismente★ 1,3 K↓ —
- agentlasagentlas-ai/Agentlas-OSSingle entry point for every Agentlas command: /agentlas network, /agentlas build, /agentlas storm, /agentlas goal, /agentlas one, /agentlas upload, /agentlas cloud, /agentlas hub, /agentlas local, /agentlas browser, /agentlas call, /agentlas search.BrowserFără avertismente★ 1,6 K↓ —
- content-strategyrampstackco/claude-skillsDevelop a content strategy covering editorial positioning, content pillars, formats, calendar, governance, and topical authority planning. Use this skill whenever the user wants to plan a content program, define content pillars, build an editorial calendar, structure topic clusters, set up content governance, or align content production with broader brand and SEO goals. Triggers on content strategy, content plan, editorial strategy, content pillars, content calendar, editorial calendar, topical authority, topic clusters, content governance, content roadmap, content production. Also triggers when the user is about to start producing content without a strategic plan.MarketingFără avertismente★ 1 K↓ —
- redis-securityredis/agent-skillsRedis security guidance covering authentication (requirepass and ACL users), TLS, ACL-based least-privilege access control, restricting network exposure via bind and protected-mode, firewall rules, and disabling dangerous commands. Use when deploying Redis to production, defining ACL users for an application, configuring TLS connections, locking down a Redis instance behind a firewall, or auditing a Redis deployment for security hardening.OficialSecuritateFără avertismente★ 172↓ —Apare și în 1 alt depozit
- plan-campaign-channel-decisiongooseworks-ai/goose-skillsStep of the plan-campaign playbook: marks each candidate channel Run, Test, Later or No with a brand-fact reason and founder hours. Run plan-campaign instead; not for direct use.MarketingFără avertismente★ 1,3 K↓ —
- tdd-workflowmohitagw15856/pm-claude-skillsDrive a feature with a disciplined test-driven development loop — red, green, refactor. Use when implementing a feature or fixing a bug and you want tests to lead, or when asked to 'do this with TDD' / write the test first. Produces a step-by-step red-green-refactor plan: the failing test to write first, the minimal code to pass it, and the refactor — one small cycle at a time.TestareFără avertismente★ 1,5 K↓ —
- auto-researchdzhng/skillsRun fast, progressive experiments to map tunable parameters and their effects. Use when optimizing code, prompts, configurations, or other artifacts against a goal or benchmark, or when a long research run needs a planned hypothesis queue, focused trials, and durable findings.ȘtiințăFără avertismente★ 1,4 K↓ —
- planning-with-filesActualizatOthmanAdi/planning-with-filesPersistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; agent instructions read selected project planning context when invoked. 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. This adapter registers no lifecycle or Stop hook, never requests continuation, 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↓ —
- write-outreachgooseworks-ai/goose-skillsCold outreach a person sends to business buyers: email and LinkedIn sequences, a first line per prospect, reply and objection answers, and a read of replies. Use when the marketer says "write a cold email sequence", "what do I send to this list", "write LinkedIn messages for these leads", "how do I reply to this prospect" or "handle this objection", "reply to this demo request", "win back or reconnect with accounts that churned or went quiet", or "why is nobody replying to my outreach". Drafts only; the marketer sends from their own tool. Not for finding the people — use research-audience; not for emails to subscribers or users, or consumer win-back — use email-lifecycle.RedactareFără avertismente★ 1,3 K↓ —
- go-to-marketmohitagw15856/pm-claude-skillsCreate go-to-market assets for any product or feature. Use when asked for a GTM plan, positioning statement, product launch plan, messaging pillars, use cases, or feature/benefit list. Produces a full GTM pack: positioning statement, messaging pillars, feature-to-benefit mapping, and role-specific use cases. For a tiered launch plan with cross-functional coordination use go-to-market-planner instead.PlanificareFără avertismente★ 1,5 K↓ —
- jetson-customize-fanNVIDIA/skillsUse when you need to add, remove, edit, list, or change the boot default of an nvfancontrol fan profile on a Jetson/Tegra (Orin, Thor) target. Triggers: edit fan profile, tune fan curve.RedactareFără avertismente★ 3,8 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↓ —
- learn-my-brandgooseworks-ai/goose-skillsLearn my brand once and stop asking me every time. Use when someone says learn my brand, set up my brand, here's our brand book, remember how we talk, what can we claim, can we say this, approve our claims, sign off our voice, our price or product changed, the client approved the claims, pick up where we left off, or check our claims are still current. Reads what GooseWorks already found about the brand, asks only the gaps as drafts to confirm, audits every claim (including ones research marked approved) and gets the ones that matter signed off with proof, scope and review date, turns the voice into rules the owner confirms, checks logo, colours and fonts, and saves it all as it goes so every other job loads it instead of asking. Ends with an unknowns list and a read-back. Not for who our customers are and what they say (use research-audience) or writing positioning from scratch (not covered yet).ȘtiințăFără avertismente★ 1,3 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↓ —
weekly-unstuck
mohitagw15856/pm-claude-skills
De la autor
A short weekly ritual that clears the mental backlog, picks the one thing that matters, and keeps you honest about your dependence on autopilot. Use when asked run my weekly reset, help me plan my week, my weekly check-in, or get me unstuck for the week. Produces a quick brain-dump and triage of what's on you, the single most important focus for the week, the stuck things and their tiny first steps, and a self-check on where you're coasting or over-relying — a recurring executive-function reset rather than a one-off fix.
Instalare
npx skills add mohitagw15856/pm-claude-skills --skill weekly-unstuck -a claude-code
Se instalează în .claude/skills/weekly-unstuck/ · 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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