sickn33/agentic-awesome-skills: 8293 Agent Skills
AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes CLI, local MCP, catalog, plugins, and Workbench.
| Repository | sickn33/agentic-awesome-skills · website |
|---|---|
| GitHub stars | 47,364 |
| Skills | 8293 (the first 80 are listed below) |
| Category | Planning, memory and productivity |
| License | MIT |
| Last updated | Oct 8, 2026 |
| Install counts | sickn33/agentic-awesome-skills on skills.sh, Vercel's skills directory, which shows installs and security audits per skill |
Install sickn33/agentic-awesome-skills
| All skills, any agent | npx skills add sickn33/agentic-awesome-skills |
|---|---|
| One skill | npx skills add sickn33/agentic-awesome-skills --skill 00-andruia-consultant |
| Only for Claude Code | npx skills add sickn33/agentic-awesome-skills -a claude-code, or copy a skill folder to ~/.claude/skills/ (all projects) or .claude/skills/ (one project) |
npx skills is the open-source skills CLI; it asks which agents to install for. Skills can include scripts that your agent will run: read a skill before installing it, as you would any code.
Skills in sickn33/agentic-awesome-skills
| Skill | What it does |
|---|---|
| 00-andruia-consultant | Arquitecto de Soluciones Principal y Consultor Tecnológico de Andru.ia. Diagnostica y traza la hoja de ruta óptima para proyectos de IA en español. |
| 007 | Security audit, hardening, threat modeling (STRIDE/PASTA), Red/Blue Team, OWASP checks, code review, incident response, and infrastructure security for any project. |
| 10-andruia-skill-smith | Ingeniero de Sistemas de Andru.ia. Diseña, redacta y despliega nuevas habilidades (skills) dentro del repositorio siguiendo el Estándar de Diamante. |
| 20-andruia-niche-intelligence | Estratega de Inteligencia de Dominio de Andru.ia. Analiza el nicho específico de un proyecto para inyectar conocimientos, regulaciones y estándares únicos del sector. Actívalo tras definir el nicho. |
| 2slides-ppt-generator | AI-powered presentation generation via the 2slides API — create slides from text, match a reference image style, summarize documents into decks, add AI voice narration, and export pages/audio. Use for any "make slides", "create a deck", or "slides from this document" request. |
| 360-feedback-system | 360 feedback register: reviewer, subject, review cycle, visibility, due date and score, as CSV, SQL, JSON Schema or Notion on request. Use for 360 reviews or peer feedback cycles. |
| 3d-web-experience | Expert in building 3D experiences for the web - Three.js, React Three Fiber, Spline, WebGL, and interactive 3D scenes. Covers product configurators, 3D portfolios, immersive websites, and bringing depth to web experiences. |
| aas-compose-stack | Preserve the coding agent's explicit AAS skill selection as a validated stack and optional evidence. |
| aas-discover | Discover AAS skills for an explicit task and compare their complete instructions without installing them. |
| aas-review-stack | Review AAS stack manifests, preview plans and selection evidence in Workbench without applying changes. |
| ab-test-setup | Use when designing an A/B or split test: define the hypothesis, control and variants, estimate sample size, verify tracking, and predeclare metrics and stopping rules. |
| ab-testing | When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. |
| acceptance-orchestrator | Use when a coding task should be driven end-to-end from issue intake through implementation, review, deployment, and acceptance verification with minimal human re-intervention. |
| access-matrix | Access matrix of role-by-module permissions, with per-role scope, confidentiality level and SME tier, as CSV, SQL, JSON Schema or Notion on request. Use for access reviews. |
| access-review | Conduct periodic access reviews and certifications. Implement access governance and recertification workflows. Use when managing access compliance. |
| accessibility-compliance-accessibility-audit | You are an accessibility expert specializing in WCAG compliance, inclusive design, and assistive technology compatibility. Conduct audits, identify barriers, and provide remediation guidance. |
| accesslint-audit | Find and fix WCAG 2.2 accessibility issues. Two modes — report (sweep a codebase or page, produce a prioritized written report, no edits) and fix (audit→edit→verify loop on a target). Prefers direct-CDP live-DOM auditing; falls back to a browser-MCP composition or HTML-string audits. |
| accesslint-diff | Diff a live page's accessibility violations against a baseline — by default compares uncommitted changes (stash-based), or pass --branch [<name>] to diff against a branch. Reports only new violations introduced, violations fixed, and pre-existing count. Use `scan` for a full audit with no diffing. |
| accesslint-scan | Audit a live page for accessibility issues, locate each WCAG violation precisely, and return a selector-grounded fix worklist without editing. |
| accint-commitments | Triage acc's open promises and close them with honest real-world verdicts via acc_act(runtime="outcome"). |
| accint-frames | Drain acc's deliberation queue — open/waiting brain_frames checkpointed by headless runs — via acc_act(runtime="continue"). |
| accint-solve | Route a goal through acc's scored-memory loop via acc_act(runtime="solve"); deliberate any returned brain_frame and submit via continue. |
| accounting-audit-system-builder | Routes an accounting or audit request to the right module skill, from software selection through monthly closing, asking only what is missing. Use for books of accounts or audit files. |
| accounting-software-selection | Scores shortlisted accounting packages against 57 evidence-backed fields, emitted as CSV, SQL, JSON Schema or Notion on request. Use for choosing accounting software. |
| active-directory-attacks | Provide comprehensive techniques for attacking Microsoft Active Directory environments. Covers reconnaissance, credential harvesting, Kerberos attacks, lateral movement, privilege escalation, and domain dominance for red team operations and penetration testing. |
| activecampaign-automation | Automate ActiveCampaign tasks via Rube MCP (Composio): manage contacts, tags, list subscriptions, automation enrollment, and tasks. Always search tools first for current schemas. |
| ad-campaign-analyzer | Analyze cross-channel campaign data, quantify uncertainty, and propose evidence-labeled budget tests without overstating causality. |
| ad-creative | Create, iterate, and scale paid ad creative for Google Ads, Meta, LinkedIn, TikTok, and similar platforms. Use when generating headlines, descriptions, primary text, or large sets of ad variations for testing and performance optimization. |
| add-app-clip | Add an iOS App Clip target to an Expo app. Use when the user mentions App Clip, AASA, apple-app-site-association, appclips, smart app banner, or wants to ship a lightweight iOS Clip invoked from a URL alongside their parent app. |
| address-github-comments | Use when you need to address review or issue comments on an open GitHub Pull Request using the gh CLI. |
| adhx | Fetch any X/Twitter post as clean LLM-friendly JSON. Converts x.com, twitter.com, or adhx.com links into structured data with full article content, author info, and engagement metrics. No scraping or browser required. |
| admin-access-register | Admin account register: system, main and backup admin, seats, plan, 2FA, shared logins and access-review dates, as CSV, SQL, JSON Schema or Notion on request. Use for access reviews. |
| advanced-analytics-dashboard | Dashboard metric register: metric, source module, formula, period, value, target, trend, owner and last-updated, as CSV, SQL, JSON Schema or Notion on request. Use for KPI dashboards. |
| advanced-evaluation | This skill should be used when the user asks to "implement LLM-as-judge", "compare model outputs", "create evaluation rubrics", "mitigate evaluation bias", or mentions direct scoring, pairwise comparison, position bias, evaluation pipelines, or automated quality assessment. |
| advogado-criminal | Advogado criminalista especializado em Maria da Penha, violencia domestica, feminicidio, direito penal brasileiro, medidas protetivas, inquerito policial e acao penal. |
| advogado-especialista | Advogado especialista em todas as areas do Direito brasileiro: familia, criminal, trabalhista, tributario, consumidor, imobiliario, empresarial, civil e constitucional. |
| aegisops-ai | Autonomous DevSecOps & FinOps Guardrails. Orchestrates Gemini 3 Flash to audit Linux Kernel patches, Terraform cost drifts, and K8s compliance. |
| agent-evals | Build automated evaluation suites for AI agents using golden datasets, rubrics, and regression gates. Use when shipping agent features, validating prompt changes, or gating deployments on quality. |
| agent-evaluation-reporting | Use when summarizing agent evaluations where autonomous, assisted, failed, timed-out, or invalid outcomes must remain distinct and comparable. |
| agent-evaluation | Evaluate agent behavior with versioned cases and explicit verifiers. Use when comparing agent or prompt changes, reproducing failures, or running agent regression tests. |
| agent-framework-azure-ai-py | Build persistent agents on Azure AI Foundry using the Microsoft Agent Framework Python SDK. |
| agent-harness-fault-injection | Use when an agent workflow needs deterministic recovery evidence for sandbox, MCP/tool, worker, checkpoint, memory, or orchestration failures. |
| agent-manager-skill | Manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling. |
| agent-memory-discipline | Rules for when an agent should recall from long-term memory before acting and when it should save decisions, corrections and failures afterwards. Works with any memory backend. |
| agent-memory-mcp | A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions). |
| agent-memory-systems | Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-term (context window), long-term (vector stores), and the cognitive architectures that organize them. |
| agent-memory | A hybrid memory system that provides persistent, searchable knowledge management for AI agents. |
| agent-observability | Instrument AI agents with tracing, token metrics, latency, and cost visibility. Use for reliability and debugging. |
| agent-orchestration-improve-agent | Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration. |
| agent-orchestration-multi-agent-optimize | Optimize multi-agent systems with coordinated profiling, workload distribution, and cost-aware orchestration. Use when improving agent performance, throughput, or reliability. |
| agent-orchestrator | Meta-skill que orquestra todos os agentes do ecossistema. Scan automatico de skills, match por capacidades, coordenacao de workflows multi-skill e registry management. |
| agent-qa-authoring | Create, edit, validate, and run Agent QA tests, suites, and hooks through MCP or CLI while preserving canonical IDs and schema contracts. |
| agent-qa-debug-fix | Debug, patch, and verify failed Agent QA runs from MCP evidence, artifacts, logs, and local code without hiding product or infrastructure defects. |
| agent-qa-result-triage | Triage failed Agent QA runs with MCP evidence, artifacts, logs, fixed failure categories, confidence, and actionable next steps. |
| agent-reels | Find animation and video references on 1human, consult a human-agent shared library, and contribute public creations only with prior owner permission. |
| agent-self-scheduling | Schedule AI agent runs with cron, loops, or external clocks while avoiding unsafe tight autonomous timers. |
| agent-squad | Main agent orchestrator that coordinates a specialized squad of agents |
| alex | Turns requirements into a precise, dependency-aware implementation plan. |
| aria | Designs the data model, API contracts, and structural foundation of the system. |
| dep | Handles containerization, CI/CD pipelines, and deployment setup. |
| luna | Reviews code for objective correctness, security, and reliability. |
| mason | Produces clean, functional code that matches the architecture and checklists. |
| max | Cleans up and improves existing code without changing behavior. |
| quinn | Proves the system works by writing and executing comprehensive test suites. |
| rex | Translates user intent into a precise, unambiguous specification and requirements. |
| agent-tool-builder | Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently, or costs 10x more tokens than necessary. This skill covers tool design from schema to error handling. |
| agentflow | Orchestrate autonomous AI development pipelines through your Kanban board (Asana, GitHub Projects, Linear). Manages multi-worker Claude Code dispatch, deterministic quality gates, adversarial review, per-task cost tracking, and crash-proof pipeline execution. |
| agentfolio | Skill for discovering and researching autonomous AI agents, tools, and ecosystems using the AgentFolio directory. |
| agentic-actions-auditor | Audits GitHub Actions workflows for security vulnerabilities in AI agent integrations including Claude Code Action, Gemini CLI, OpenAI Codex, and GitHub AI Inference. Detects attack vectors where attacker-controlled input reaches. AI agents running in CI/CD pipelines. |
| agentmail | Email infrastructure for AI agents. Create accounts, send/receive emails, manage webhooks, and check karma balance via the AgentMail API. |
| agentphone | Build AI phone agents with AgentPhone API. Use when the user wants to make phone calls, send/receive SMS, manage phone numbers, create voice agents, set up webhooks, or check usage — anything related to telephony, phone numbers, or voice AI. |
| agents-generator | Generate project-specific AGENTS.md and companion rules by analyzing a codebase. Supports full, minimal, update, and dry-run modes with package-manager detection, monorepos, backups, managed blocks, confidence scoring, and command validation. |
| agents-md | Create, revise, or audit AGENTS.md files from repository evidence, verified commands, and correctly scoped instructions without overwriting maintainer intent. |
| agents-v2-py | Build container-based Foundry Agents with Azure AI Projects SDK (ImageBasedHostedAgentDefinition). Use when creating hosted agents with custom container images in Azure AI Foundry. |
| agenttrace-session-audit | Audit local AI coding-agent sessions with agenttrace for cost, tool failures, latency, anomalies, health, diffs, and CI gates. |
| agy-delegate | Delegate coding tasks to the Google Antigravity CLI (`agy`) only when the user explicitly requests it, while the orchestrator retains review and landing responsibility. |
| ai-agent-development | AI agent development workflow for building autonomous agents, multi-agent systems, and agent orchestration with CrewAI, LangGraph, and custom agents. |
| ai-agent-evaluation-benchmarking | Autonomous AI agent benchmark evaluation register: task completion rates, planning accuracy, tool invocation precision, and cost benchmarks. |
| ai-agent-security | Secure AI agents against prompt injection, tool abuse, and data exfiltration with defense-in-depth controls. |
| ai-agent-tool-routing | Autonomous AI agent tool router register: schema registration, runtime parameter coercion, idempotency keys, and error recovery policies. |
Names and descriptions come from each skill's SKILL.md and are written by the pack's authors.
More planning, memory and productivity skill packs
| # | Skill pack | Skills | GitHub stars | Updated |
|---|---|---|---|---|
| 1 |
ayghri/i-have-adhd A skill to stop your coding agent from burying the answer. ADHD-friendly output.
|
2 | 55.8K | 2026-10-06 |
| 2 |
kepano/obsidian-skills Agent skills for Obsidian. Teach your agent to use Obsidian CLI and open formats including Markdown, Bases, JSON Canvas.
|
6 | 49.3K | 2026-09-15 |
| 3 |
nidhinjs/prompt-master A Claude skill that writes the accurate prompts for any AI tool. Zero tokens or credits wasted. Full context and memory retention
|
1 | 14.2K | 2026-08-24 |
| 4 |
Gentleman-Programming/gentle-ai Gentle-AI configures the AI coding agents you already use: Claude Code, Cursor, OpenCode, Codex, Pi, and more. Choose persistent …
|
26 | 7,611 | 2026-10-08 |
| 5 |
xianyu110/awesome-openclaw-tutorial OpenClaw 中文教程（4500+ Star · 已出版纸质书）：安装、配置、Skills、飞书接入与避坑｜作者的 GPT-6 / Codex / Claude Code 新项目见 README 顶部
|
2 | 4,565 | 2026-10-04 |
| 6 |
rohitg00/pro-workflow Claude Code learns from your corrections: self-correcting memory that compounds over 50+ sessions. Context engineering, parallel …
|
41 | 2,907 | 2026-09-29 |