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 7 hours ago
48,622 skills
- scientific-data-preprocessingforyourhealth111-pixel/Vibe-Skills⚠️ CRITICAL USER EXPERIENCE-BASED SKILL - ALWAYS CONSULT BEFORE DATA PREPROCESSING ⚠️ Prevents catastrophic errors (88.9% error rate in V1.0 case study) through multi-level feature analysis, data leakage detection, and semantic validation. MANDATORY for: data preprocessing, feature engineering, standardization, normalization, interpolation, missing value handling, feature selection, or ANY data transformation task. Covers grouped time-series, cross-sectional, panel data. Detects: time travel leakage, causal inversion, ID misuse, semantic-numeric fallacies, distribution blindness. User's hard-won lessons from real project failures.ScienceNo warnings★ 3.8K↓ —
- clade-hello-worldjeremylongshore/tons-of-skills-marketplaceSend your first message to Claude using the Anthropic SDK. Use when starting a new Claude integration, testing your setup, or learning the Messages API basics. Trigger with phrases like "anthropic hello world", "claude api example", "first claude call", "anthropic quick start".TestingNo warnings★ 2.9K↓ —
- terraform-style-guidehashicorp/agent-skillsGenerate Terraform HCL code following HashiCorp's official style conventions and best practices. Use when writing, reviewing, or generating Terraform configurations.OfficialDevOpsNo warnings★ 911↓ —
- azure-verified-moduleshashicorp/agent-skillsAzure Verified Modules (AVM) requirements and best practices for developing certified Azure Terraform modules. Use when creating or reviewing Azure modules that need AVM certification.OfficialDevOpsNo warnings★ 911↓ —
- refactor-modulehashicorp/agent-skillsTransform monolithic Terraform configurations into reusable, maintainable modules following HashiCorp's module design principles and community best practices.OfficialEngineeringNo warnings★ 911↓ —
- arenabacknotprop/pstackSpawn N parallel candidates at the same task, pick a base, graft the strongest parts of the losers into it. Use for /arena, 'arena this', 'throw it in the arena', or when one attempt at a non-trivial artifact would lock in the wrong shape.ProductivityNo warnings★ 3.3K↓ —
- get-unpublished-changescode-yeongyu/oh-my-openagentCompare HEAD with the latest published npm versions and list all unpublished changes by release layer. Triggers: unpublished changes, changelog, what changed, whats new.OtherNo warnings★ 70.6K↓ —
- readdavepoon/buildwithclaudePreview a distilled wiki page from inside Claude Code. Prints title, summary, source count, and the local md path. Full body lives on disk — open with the user's editor. Invoked as `/read <title_or_id>`.WritingNo warnings★ 3.7K↓ —
- agent-patternsjeremylongshore/tons-of-skills-marketplaceExecute this skill should be used when the user asks about "SPAWN REQUEST format", "agent reports", "agent coordination", "parallel agents", "report format", "agent communication", or needs to understand how agents coordinate within the sprint system. Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.ProductivityNo warnings★ 2.9K↓ —
- adobe-common-errorsjeremylongshore/tons-of-skills-marketplaceClassify Adobe failures from redacted response evidence and select the smallest bounded recovery. Use across auth, Firefly, Photoshop, PDF Services, Events, and App Builder. Use when the task requires adobe response-led error triage. Trigger with "fix Adobe error", "Adobe 403", or "Adobe API failed".DocumentsNo warnings★ 2.9K↓ —
- complexa-targetNVIDIA/skillsAdd, edit, inspect, or validate Proteina-Complexa target definitions for protein binders, ligand binders, and AME motif scaffolding. Use for target registries, chain/residue selectors, hotspots, ligand fields, and incomplete motif inputs. Covers direct YAML edits and complexa target/validate target commands; running a campaign with an already registered target belongs to complexa-design.DesignNo warnings★ 3.8K↓ —
- gsd:scandavepoon/buildwithclaudeRapid codebase assessment — lightweight alternative to /gsd:map-codebaseOtherNo warnings★ 3.7K↓ —
- gsd:quickdavepoon/buildwithclaudeExecute a quick task with GSD guarantees (atomic commits, state tracking) but skip optional agentsProductivityNo warnings★ 3.7K↓ —
- tddbacknotprop/pstackUse only when the user explicitly asks for TDD, a failing test, or a regression test, OR when the bug has an obvious cheap local test target. Skip when the test path is unclear, expensive, integration-heavy, or not requested.TestingNo warnings★ 3.3K↓ —Also in 3 other repos
- tao-train-pointpillarsNVIDIA/skillsPointPillars for 3D object detection from LiDAR point clouds. Encodes point clouds into a pseudo-image via a pillar-based representation, then applies 2D detection — used in autonomous driving and robotics. Use when training, evaluating, exporting, pruning, retraining, or running inference for a TAO PointPillars model. Trigger phrases include "train PointPillars", "LiDAR 3D detection", "point-cloud object detection", "pillar-based 3D detector".MediaNo warnings★ 3.8K↓ —
- gsd:fastdavepoon/buildwithclaudeExecute a trivial task inline — no subagents, no planning overheadPlanningNo warnings★ 3.7K↓ —
- etf-premiumhimself65/finance-skillsCalculate an ETF's premium or discount to NAV from Yahoo Finance data (yfinance), compare or screen ETFs by premium, explain why a gap exists, and decompose a sudden ETF move into NAV-driven vs structural components (dealer gamma exposure, blocked AP arbitrage, sentiment). Use this skill whenever the user asks whether an ETF trades above or below NAV, compares ETF premiums or discounts, screens for the biggest ones, asks about ETF arbitrage or premium convergence, or wants to know why an ETF jumped or diverged from its holdings — including gamma squeezes, dealer gamma exposure (GEX), and blocked creation/redemption. Especially relevant for leveraged, inverse, international, bond, commodity, and crypto ETFs (IBIT, BITO, HYG, KWEB).FinanceNo warnings★ 3.5K↓ —
- quit-sponsorjeremylongshore/tons-of-skills-marketplaceTurns an AI agent with persistent memory into a quit-smoking sponsor. Use when a person asks for help quitting smoking (cigarettes or other smoked tobacco), announces they are quitting, reports a craving, a slip, or a relapse, goes silent mid-quit, or asks the agent to witness and track a quit. Provides evidence-based protocols (immediate execution of the quit decision, urge surfing, slip attribution coaching, withdrawal timelines, nutrition and alcohol rules, NRT guidance, a two-year aftercare cadence) plus a sponsor decision tree with an order-of-operations for colliding rules, a three-clause contract, purge ritual, graded live-crisis ladder for a pack already in hand, wave protocol, slip and post-relapse protocols, recurrence escalation, silence protocol, a Ulysses pact, a red-flag medical playbook, high-risk situation mapping, if-then plans, and a timestamped logbook. Includes a low-verbal client mode and an optional module for cannabis co-use and tobacco-mixed joints. Not a medical device.ScienceNo warnings★ 2.9K↓ —
- scholarly-publishingforyourhealth111-pixel/Vibe-SkillsUse when planning an end-to-end scholarly publishing workflow, including manuscript source-of-truth, submission assets, revision/rebuttal files, camera-ready checks, reproducible build expectations, and publication package structure.PlanningNo warnings★ 3.8K↓ —
- principle-type-system-disciplinebacknotprop/pstackApply when designing types, reviewing a function signature, or writing code in any statically-typed language. Make illegal states unrepresentable, brand semantic primitives, parse external data at boundaries, exhaust variants, derive from authoritative schemas.WritingNo warnings★ 3.3K↓ —
- nvshmem-get-startedNVIDIA/skillsUse when NVSHMEM beginners want a tutorial-style overview on assessment, mental models, first C/C++ or Python NVSHMEM programs, compilation, launching, and next steps.EngineeringNo warnings★ 3.8K↓ —
- nemo-mbridge-resiliencyNVIDIA/skillsResiliency features in Megatron Bridge including fault tolerance, straggler detection, in-process restart, preemption, and re-run state machine.OtherNo warnings★ 3.8K↓ —
- technical-writingbacknotprop/pstackLayered technical-writing standard: Diátaxis structure, Google developer style sentences, STE instruction rules, Global English syntax. Use for /technical-writing or when writing or reviewing docs, RFCs, readmes, PR descriptions, or commit messages.WritingNo warnings★ 3.3K↓ —
- security-researchcode-yeongyu/oh-my-openagentTeam Mode security research skill. Orchestrates 3 vulnerability hunters and 2 PoC engineers to audit a codebase in parallel, prove exploitability, classify root causes, and calibrate severity by actual exploitability. Use for security review, vulnerability research, exploitability audit, pre-release security check, threat model validation, and `/security-research`. Triggers: 'security-research', 'security research', 'security review', 'vulnerability audit', 'exploitability audit', '보안 리뷰', '취약점 감사'.SecurityNo warnings★ 70.6K↓ —
wiki-history-ingest
Ar9av/obsidian-wiki
PlanningUpdated 14 hours ago
From the author
Route generic agent-history ingestion requests to the appropriate specialized history-ingest skill. Use when the user asks to ingest AI-agent history without directly selecting the underlying agent-specific skill.
Install
npx skills add Ar9av/obsidian-wiki --skill wiki-history-ingest -a claude-code
Installs to .claude/skills/wiki-history-ingest/ · 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 90
Security100
Provenance83
Maintenance100
Licence100
Adoption57
Files (1)
- SKILL.md