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Agent Skills

Instruction packs for your AI agent — browse standalone skills, tool add-ons and skills that need setup first.

✦ Standalone skills2,358

Listed for general use, with no separate prerequisite named.

🧰 Tool add-ons426

Listed as skills bundled with a specific tool, with no separate prerequisite named.

🔌 Needs setup first88

Each relies on something you set up separately — such as an app, a command-line tool or an account — and its page names what that is.

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automattic

2,358 standalone skills
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click

✓★ 2,433

by microsoft

Best practices for building CLI applications with Click including commands, groups, options, and testing.

AI impact score: 4 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
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django

✓★ 2,433

by microsoft

Best practices for Django web development including models, views, templates, and testing.

AI impact score: 4 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
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flask

✓★ 2,433

by microsoft

Best practices for Flask web development including routing, blueprints, and testing.

AI impact score: 4 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
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jinja2

✓★ 2,433

by microsoft

Best practices for template rendering with Jinja2 including environments, filters, autoescaping, and security.

AI impact score: 4 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
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numpy

✓★ 2,433

by microsoft

Best practices for numerical computing with NumPy including arrays, broadcasting, and vectorization.

AI impact score: 4 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
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pytest

✓★ 2,433

by microsoft

Best practices for writing and organizing tests with pytest including fixtures, parametrize, and plugins.

AI impact score: 4 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
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requests

✓★ 2,433

by microsoft

Best practices for HTTP client usage with Requests including sessions, error handling, and timeouts.

AI impact score: 4 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
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supabase

✓★ 2,311

by supabase

Use when doing ANY task involving Supabase. Triggers: Supabase products (Database, Auth, Edge Functions, Realtime, Storage, Vectors, Cron, Queues); client libraries and SSR integrations (supabase-js, @supabase/ssr) in Next.js, React, SvelteKit, Astro, Remix; auth issues (login, logout, sessions, JWT, cookies, getSession, getUser, getClaims, RLS); Supabase CLI or MCP server; schema changes, migrations, security audits, Postgres extensions (pg_graphql, pg_cron, pg_vector).

AI impact score: 4 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.Free
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supabase-postgres-best-practices

✓★ 2,311

by supabase

Postgres performance optimization and best practices from Supabase. Use this skill when writing, reviewing, or optimizing Postgres queries, schema designs, or database configurations.

AI impact score: 4 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
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make-interfaces-feel-better

★ 2,219

by jakubkrehel

Design engineering principles for making interfaces feel polished. Use when building UI components, reviewing frontend code, implementing animations, hover states, shadows, borders, typography, micro-interactions, enter/exit animations, or any visual detail work. Triggers on UI polish, design details, "make it feel better", "feels off", stagger animations, border radius, optical alignment, font smoothing, tabular numbers, image outlines, box shadows.

AI impact score: 4 out of 5 for usefulness, based on documentation; the AI did not install or run the tool. See “Impact rating (1–5)” on the “How to read ratings & labels” page.FreeInstallation
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agent-md-refactor

★ 2,144

by softaworks

Refactor bloated AGENTS.md, CLAUDE.md, or similar agent instruction files to follow progressive disclosure principles. Splits monolithic files into organized, linked documentation.

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backend-to-frontend-handoff-docs

★ 2,144

by softaworks

Create API handoff documentation for frontend developers. Use when backend work is complete and needs to be documented for frontend integration, or user says 'create handoff', 'document API', 'frontend handoff', or 'API documentation'.

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c4-architecture

★ 2,144

by softaworks

Generate architecture documentation using C4 model Mermaid diagrams. Use when asked to create architecture diagrams, document system architecture, visualize software structure, create C4 diagrams, or generate context/container/component/deployment diagrams. Triggers include "architecture diagram", "C4 diagram", "system context", "container diagram", "component diagram", "deployment diagram", "document architecture", "visualize architecture".

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codex

★ 2,144

by softaworks

Use when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing. Uses GPT-5.2 by default for state-of-the-art software engineering.

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command-creator

★ 2,144

by softaworks

This skill should be used when creating a Claude Code slash command. Use when users ask to "create a command", "make a slash command", "add a command", or want to document a workflow as a reusable command. Essential for creating optimized, agent-executable slash commands with proper structure and best practices.

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commit-work

★ 2,144

by softaworks

Create high-quality git commits: review/stage intended changes, split into logical commits, and write clear commit messages (including Conventional Commits). Use when the user asks to commit, craft a commit message, stage changes, or split work into multiple commits.

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crafting-effective-readmes

★ 2,144

by softaworks

Use when writing or improving README files. Not all READMEs are the same — provides templates and guidance matched to your audience and project type.

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daily-meeting-update

★ 2,144

by softaworks

Interactive daily standup/meeting update generator. Use when user says 'daily', 'standup', 'scrum update', 'status update', 'what did I do yesterday', 'prepare for meeting', 'morning update', or 'team sync'. Pulls activity from GitHub, Jira, and Claude Code session history. Conducts 4-question interview (yesterday, today, blockers, discussion topics) and generates formatted Markdown update.

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datadog-cli

★ 2,144

by softaworks

Datadog CLI for searching logs, querying metrics, tracing requests, and managing dashboards. Use this when debugging production issues or working with Datadog observability.

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dependency-updater

★ 2,144

by softaworks

Smart dependency management for any language. Auto-detects project type, applies safe updates automatically, prompts for major versions, diagnoses and fixes dependency issues.

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design-system-starter

★ 2,144

by softaworks

Create and evolve design systems with design tokens, component architecture, accessibility guidelines, and documentation templates. Ensures consistent, scalable, and accessible UI across products.

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difficult-workplace-conversations

★ 2,144

by softaworks

Structured approach to workplace conflicts, performance discussions, and challenging feedback using preparation-delivery-followup framework. Use when preparing for tough conversations, addressing conflicts, giving critical feedback, or navigating sensitive workplace discussions.

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draw-io

★ 2,144

by softaworks

draw.io diagram creation, editing, and review. Use for .drawio XML editing, PNG conversion, layout adjustment, and AWS icon usage.

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excalidraw

★ 2,144

by softaworks

Use when working with *.excalidraw or *.excalidraw.json files, user mentions diagrams/flowcharts, or requests architecture visualization - delegates all Excalidraw operations to subagents to prevent context exhaustion from verbose JSON (single files: 4k-22k tokens, can exceed read limits)

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feedback-mastery

★ 2,144

by softaworks

Navigate difficult conversations and deliver constructive feedback using structured frameworks. Covers the Preparation-Delivery-Follow-up model and Situation-Behavior-Impact (SBI) feedback technique. Use when preparing for difficult conversations, giving feedback, or managing conflicts.

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frontend-to-backend-requirements

★ 2,144

by softaworks

Document frontend data needs for backend developers. Use when frontend needs to communicate API requirements to backend, or user says 'backend requirements', 'what data do I need', 'API requirements', or is describing data needs for a UI.

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game-changing-features

★ 2,144

by softaworks

Find 10x product opportunities and high-leverage improvements. Use when user wants strategic product thinking, mentions '10x', wants to find high-impact features, or says 'what would make this 10x better', 'product strategy', or 'what should we build next'.

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gemini

★ 2,144

by softaworks

Use when the user asks to run Gemini CLI for code review, plan review, or big context (>200k) processing. Ideal for comprehensive analysis requiring large context windows. Uses Gemini 3 Pro by default for state-of-the-art reasoning and coding.

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gepetto

★ 2,144

by softaworks

Creates detailed, sectionized implementation plans through research, stakeholder interviews, and multi-LLM review. Use when planning features that need thorough pre-implementation analysis.

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humanizer

★ 2,144

by softaworks

Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases. Credits: Original skill by @blader - https://github.com/blader/humanizer

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