Agent skills you can check before you install
Public SKILL.md skills from GitHub repositories with 50+ stars and from the vendors themselves, scanned and scored. Install any of them with one command in Claude Code, Cursor, Codex, GitHub Copilot or Gemini CLI.
48,622 skills from 2,355 repositories · updated 20 hours ago
47,548 skills
- x-twitter-growthalirezarezvani/claude-skillsUse for growing on X/Twitter: tweets, threads, profile audit, competitors or posting plan. Audits the profile with profile_auditor.py, drafts with tweet_composer.py and plans posts with content_planner.py.MarketingNo warnings★ 29.1K↓ —
- 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.OtherNo warnings★ 29.1K↓ —
- secrets-vault-manageralirezarezvani/claude-skillsUse when setting up HashiCorp Vault, AWS Secrets Manager, Azure Key Vault or GCP Secret Manager, rotating secrets or auditing secret access. Generates config with vault_config_generator.py, plans rotation with rotation_planner.py and analyzes audit logs.DevOpsNo warnings★ 29.1K↓ —
- site-architecturealirezarezvani/claude-skillsUse for URL structure, navigation, internal linking, hub pages or orphan pages, or when SEO problems are structural. Analyzes the sitemap and link graph with sitemap_analyzer.py before proposing a structure.PlanningNo warnings★ 29.1K↓ —
- 01-auto-arenaagentscope-ai/OpenJudgeAutomatically evaluate and compare multiple AI models or agents without pre-existing test data. Generates test queries from a task description, collects responses from all target endpoints, auto-generates evaluation rubrics, runs pairwise comparisons via a judge model, and produces win-rate rankings with reports and charts. Supports checkpoint resume, incremental endpoint addition, and judge model hot-swap. Use when the user asks to compare, benchmark, or rank multiple models or agents on a custom task, or run an arena-style evaluation.TestingNo warnings★ 1K↓ —
- 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; 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.PlanningNo warnings★ 27.8K↓ —
- 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.OfficialProductivityNo warnings★ 11.2K↓ —
- 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.OtherNo warnings★ 1.6K↓ —
- patentalirezarezvani/claude-skillsUse for prior-art search, freedom-to-operate, patent landscape, acquisition diligence or litigation prior art. Picks the use case with sub_use_case_router.py, searches Google Patents, Espacenet and USPTO and writes a .docx; not legal advice.DocumentsNo warnings★ 29.1K↓ —
- 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.OfficialScienceNo warnings★ 11.2K↓ —
- 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.OfficialOtherNo warnings★ 11.2K↓ —
- 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.OfficialMediaNo warnings★ 11.2K↓ —
- 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.OfficialEngineeringNo warnings★ 11.2K↓ —
- roastalirezarezvani/claude-skillsUse when someone asks to roast an idea, pressure-test or stress-test an idea, validate a business idea, "convene the panel", get a brutal second opinion before building something, or says "/roast". Spins up a 5-angle panel (Critic, Champion, Analyst, Investigator, Customer) that attacks the idea from every angle, then a Judge returns one GO / RESHAPE / KILL verdict with the cheapest test to de-risk it.TestingNo warnings★ 29.1K↓ —Also in 1 other repo
- verificationhashgraph-online/awesome-codex-pluginsVerification command resolution and evidence rule for skills that run a project's tests or build before calling work done. Resolves the test and build command from project instructions, then from the stack, then to none; defines what a pass, fail, or skipped claim must quote.TestingNo warnings★ 1.5K↓ —
- deal-deskalirezarezvani/claude-skillsUse before closing a deal that needs a discount beyond AE authority, has a redlined MSA or unclear per-deal economics. Scores it with deal_scorer.py, names approvers with discount_approval_router.py and flags risky terms with terms_redliner.py. Never auto-approves.OtherNo warnings★ 29.1K↓ —
- ru-scorehashgraph-online/awesome-codex-pluginsScore Russian text 0.0–10.0 across five dimensions: typography, clean language, grammar, structure, precision for the reader. Triggers: оцени текст, ru-score, оценка качества текста, насколько хорош текст, балл за текст. Use when the user wants a number rather than a list of findings. Never edits a file.DesignNo warnings★ 1.5K↓ —Also in 1 other repo
- ru-checkhashgraph-online/awesome-codex-pluginsFull Russian text quality check against the whole corpus. Triggers: вычитай, вычитай через ru-text, прогони ru-text, проверь текст по ru-text, ru-check, полная вычитка. Use when the user asks to proofread Russian text, or when a project gate names ru-text. Returns findings with the rule behind each and a proposed replacement; never edits a file. Self-initiated runs start with a fast triage and escalate on evidence; an explicit request always runs the full corpus.WritingNo warnings★ 1.5K↓ —Also in 1 other repo
- coding-agent-rolloutalirezarezvani/claude-skillsUse when rolling Claude Code out to a team or reviewing a rollout: shared or managed settings, MCP and plugin approval, layered CLAUDE.md, adoption. Lints settings with settings_linter.py, inventories MCP servers and plugins, and audits CLAUDE.md layering.EngineeringNo warnings★ 29.1K↓ —
- launch-strategyalirezarezvani/claude-skillsUse when planning a product or feature launch, Product Hunt day, beta or waitlist, before writing the plan. Scores readiness with launch_readiness_scorer.py and phases the launch by channel.WritingNo warnings★ 29.1K↓ —
- migration-architectalirezarezvani/claude-skillsUse before planning any database, schema, service or data migration, especially zero-downtime ones. Generates a phased plan, a compatibility check and rollback scripts with migration_planner.py, compatibility_checker.py and rollback_generator.py.PlanningNo warnings★ 29.1K↓ —
- env-secrets-manageralirezarezvani/claude-skillsUse when auditing .env files, planning credential rotation, chasing a missing env var in production or hardening a repo against leaked secrets. Scans for committed secrets and drift with env_auditor.py.PlanningNo warnings★ 29.1K↓ —
- 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.OfficialMediaNo warnings★ 11.2K↓ —
- claude-authenticityagentscope-ai/OpenJudgeDetect whether an API endpoint is backed by genuine Claude (not a wrapper, proxy, or impersonator) using 9 weighted rule-based checks that mirror the claude-verify project. Also extracts injected system prompts from providers that override Claude's identity. Fully self-contained — copy the code below and run, no extra packages beyond httpx. Use when the user wants to verify a Claude API key or endpoint, check if a third-party Claude service is authentic, audit API providers for Claude authenticity, test multiple models in parallel, or discover what system prompt a provider has injected.TestingNo warnings★ 1K↓ —
scheduler-and-booking-design
rampstackco/claude-skills
DesignUpdated 7 days ago
From the author
Designing meeting schedulers and booking experiences that qualify leads, set up calls well, and convert at higher rates than a generic Calendly link. Availability logic, qualification gating, prep automation, follow-up sequencing. Honest about any-time-friction (no qualification, just a booking link), interrogation-gate (so much qualification it scares users off), and qualified-fast-path (just enough qualification to set up the call well) patterns. Triggers on scheduler design, meeting booking, demo scheduling, sales call scheduling, calendar tool, booking page, qualification flow. Also triggers when sales team complains about cold demos, when booking conversion is poor, or when scheduler is being scoped for the first time.
Install
npx skills add rampstackco/claude-skills --skill scheduler-and-booking-design -a claude-code
Installs to .claude/skills/scheduler-and-booking-design/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Download .zip
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
What it can touch
Instructions onlyNo network use seenLicence: MIT
Safety checks on SKILL.md
No warnings.
Why 88
Security100
Provenance76
Maintenance100
Licence100
Adoption49
Files (11)
- README.md
- SKILL.md
- references/availability-logic-patterns.md
- references/common-scheduler-failures.md
- references/prep-automation-patterns.md
- references/qualification-field-design.md
- references/reminder-sequence-patterns.md
- references/reschedule-and-no-show-handling.md
- references/routing-patterns.md
- references/scheduler-anti-patterns.md
- references/scheduler-decision-criteria.md