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 48 de minute
49.409 skill-uri
- rfp-responderalirezarezvani/claude-skillsUse when an RFP, RFI, RFQ or security or vendor questionnaire arrives. Parses mandatory vs weighted requirements with rfp_parser.py, drafts proof-point answers with response_drafter.py and estimates win chance with winrate_predictor.py.SecuritateFără avertismente★ 29,2 K↓ —
- hyperframes-cliActualizatheygen-com/hyperframesThe HyperFrames CLI by job - scaffold, check, look at frames, edit the timeline, preview, render locally or in the cloud, publish, project history - plus reading its JSON and recovering from build or render failures.OficialInginerieVerifică întâi★ 78,1 K↓ —
- jetson-init-imageNVIDIA/skillsExtract Jetson Linux + sample-rootfs tarballs and run apply_binaries.sh for the active target, then record bsp_image in the profile. Use after jetson-init-target; not for source-tree setup.MediaFără avertismente★ 3,8 K↓ —
- research-competitors-edge-casesgooseworks-ai/goose-skillsStep of the research-competitors playbook: rules for run edge cases such as no browser, stalled workers, earlier reports and late reads. Run research-competitors instead; not for direct use.ȘtiințăFără avertismente★ 1,3 K↓ —
- improve-search-visibility-store-listing-auditgooseworks-ai/goose-skillsAudits an app's App Store and Google Play listing against three competitors (title, subtitle, description opening, first screenshots and captions, rating, review themes) and writes a field-by-field rewrite with character counts, or a launch-day listing before release. Use alone when you already have the app's store links and signed-off product facts; otherwise run improve-search-visibility.RedactareFără avertismente★ 1,3 K↓ —
- email-lifecycle-lifecycle-auditgooseworks-ai/goose-skillsStep of the email-lifecycle playbook: audits list, consent, live flows, recent sends and sending setup, marking every item verified, from-you or unknown. Run email-lifecycle instead; not for direct use.ProductivitateFără avertismente★ 1,3 K↓ —
- productivity-scorehoangsonww/Claude-Code-Agent-MonitorCalculate a productivity score using actual Agent Monitor metrics — session completion rates, cache efficiency (cache_read vs input), compaction pressure (baseline tokens), turn velocity (turn_count / total_turn_duration_ms), tool success ratio (PreToolUse vs PostToolUse), and the workflow intelligence API's complexity and effectiveness scores.InginerieFără avertismente★ 1,1 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↓ —
- add-whatsappnanocoai/nanoclawAdd WhatsApp channel via native Baileys adapter. Direct connection — no Chat SDK bridge. Uses QR code or pairing code for authentication.InginerieFără avertismente★ 31,1 K↓ —
- research-audiencegooseworks-ai/goose-skillsAudience research: who the buyers are, in their own words, where they gather and how to reach them — plus named prospect lists when asked. Use when the marketer says "research our audience", "who should we target", "mine our reviews", "why do people buy us or leave", "where does our audience hang out"; or for lists: "find 50 right-fit leads with emails", "find retailers or accounts to pitch", "score these leads / who do we call first", "who's looking for an alternative to X", "tell me when a past champion changes jobs". Reads the brand's own customer data first and delivers a readable report saved to the brand. Never contacts anyone. Not for market size or trends — use research-market; not for writing the messages — use write-outreach.ȘtiințăFără avertismente★ 1,3 K↓ —
- daily-budget-checkhoangsonww/Claude-Code-Agent-MonitorRun a daily spend check-in against a daily budget on the Agent Monitor dashboard — today's spend vs the daily target, pace through the day, and the projected overage if the current pace holds. Uses /api/pricing/cost and /api/sessions (grouped by started_at = today). Use for a quick daily spend check-in or a morning/evening budget pulse.InginerieFără avertismente★ 1,1 K↓ —
- ad-campaign-analyzergooseworks-ai/goose-skillsAnalyze ad campaign performance data (Google, Meta, LinkedIn) to identify what's working, what's wasting budget, and specific cut/scale/test recommendations. Runs statistical analysis, funnel diagnostics, and multi-channel budget reallocation with specific dollar-amount shift recommendations and scenario modeling.MarketingFără avertismente★ 1,3 K↓ —
- ciso-advisoralirezarezvani/claude-skillsUse for security leadership decisions: a security program, budget justification in dollars, SOC 2 vs ISO 27001 vs HIPAA roadmap, or board security reporting. Quantifies risk with risk_quantifier.py and tracks compliance with compliance_tracker.py.SecuritateFără avertismente★ 29,2 K↓ —
- oma-academic-writingfirst-fluke/oh-my-agentDraft and revise academic prose against a rubric, evidence, and citation requirements. Use for essays, reports, literature reviews, or academic style audits.RedactareFără avertismente★ 1,4 K↓ —Apare și în 1 alt depozit
- 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↓ —
- backup-strategymohitagw15856/pm-claude-skillsSet up a backup system that actually protects your photos, files, and devices — built on the 3-2-1 rule and, crucially, tested so it works when you need it. Use when asked how to back up my data, set up backups, protect my photos/files, or what's a good backup strategy. Produces a 3-2-1 plan tailored to your devices and data, specific what-to-back-up priorities, an automation setup so it happens without you, a restore-test step, and protection against the failure that ruins backups (ransomware/sync-deletes reaching the backup).TestareFără avertismente★ 1,5 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↓ —
- hook-diagnosticshoangsonww/Claude-Code-Agent-MonitorDiagnose Claude Code hook installation, delivery, and ingestion issues. Checks hook configuration, connectivity, event flow, and identifies common problems. Use when events are not appearing in the dashboard.InginerieFără avertismente★ 1,1 K↓ —
- regression-watchhoangsonww/Claude-Code-Agent-MonitorDetect quality and efficiency regressions over time using Agent Monitor data — rising error rate (APIError events), falling cache hit rate, growing compaction frequency, and climbing cost-per-session. Splits history into an earlier baseline window and a recent window and reports which metrics are getting worse, by how much, and where. Use when checking whether things are degrading or trending in the wrong direction.AlteleFără avertismente★ 1,1 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↓ —
- email-lifecycle-offer-mathgooseworks-ai/goose-skillsPrices one discount, free-shipping threshold or referral reward against contribution margin: cost per order, share of margin used, break-even lift, code leakage risks, and one recommended offer in two plain sentences. Use alone when you already have the offer, average order value and margin per product; otherwise run email-lifecycle.ProductivitateFără avertismente★ 1,3 K↓ —
- goose-product-photosgooseworks-ai/goose-skillsMake product photos (studio, lifestyle or on a model) of a brand's real products with GooseWorks in this chat. Start brand work with brand_knowledge_browse and follow the next_step in every answer.MediaFără avertismente★ 1,3 K↓ —
run-paid-campaigns-health-gate
gooseworks-ai/goose-skills
FinanțeActualizat 27 oct. 2026
De la autor
Checks that ads are safe to spend on: conversion tracking recording, landing pages loading on mobile with the right product, price and offer, enough stock behind promoted products, no disapproved ads, and no account or payment stop. Marks each pass, fail or unknown and turns fails into fixes. Use alone when you already have the live or planned ads and their landing pages; otherwise run run-paid-campaigns.
Instalare
npx skills add gooseworks-ai/goose-skills --skill run-paid-campaigns-health-gate -a claude-code
Se instalează în .claude/skills/run-paid-campaigns-health-gate/ · 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
Verificări de siguranță pe SKILL.md
Niciun avertisment.
De ce 88
Securitate100
Proveniență77
Întreținere100
Licență100
Adopție50
Fișiere (2)
- SKILL.md
- skill.meta.json