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26355 skills

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component-engineering
Python

Apply the formal standard for React component engineering focusing on accessibility, composition, and styling. Use for building professional, composable React artifacts. Use proactively when creating or reviewing React components. Examples: - user: "/component-create Button trigger" → build accessible button with asChild and keyboard map - user: "/component-review src/components/Input.tsx" → audit for accessibility and composition compliance - user: "Build a responsive slider" → select taxonomy type and implement with data attributes - user: "Review my layout component" → check for monolithic patterns vs composition

repomix-explorer
Analytics

This skill analyzes and explores codebases with Repomix CLI to reveal structure and patterns, enabling efficient repository understanding.

CliCode ReviewDataDebugging+2
reasoning-framework
Ai

This skill helps you reason and plan complex requests by applying a structured framework for task analysis, risk assessment, and hypothesis formation.

PlanningProductivityResearchStrategy+1
security-django
Python

Review Django security audit patterns for settings and middleware. Use for auditing SECRET_KEY, DEBUG, CSRF, and auth decorators. Use proactively when reviewing Django apps (settings.py or manage.py present). Examples: - user: "Audit my Django settings.py" → check SECRET_KEY, DEBUG, and ALLOWED_HOSTS - user: "Check Django views for auth" → verify @login_required and permission classes - user: "Review Django CSRF config" → check middleware and @csrf_exempt usage - user: "Scan for SQL injection in Django" → find raw SQL usage instead of ORM - user: "Audit Django REST framework config" → check default permissions and auth

seo-pseo-planner
Automation

This skill helps you plan scalable programmatic SEO content using data-driven workflows to generate hundreds of pages with structured templates.

ContentDataPlanningStrategy+1
seo-keyword-analysis
Analytics

This skill analyzes keywords using Google Search Console data to identify opportunities, quick wins, and niche validation.

DataGrowthSeoStrategy+1
convex-core
Python

Build Convex schemas, queries, mutations, actions, and client usage with strict validators and indexes. Use for data modeling, function authoring, argument/return validation, and performance guidance. Use proactively when work touches convex/schema.ts, functions, or api.* references. Examples: - user: "Design tables for multi-tenant app" → defineSchema/defineTable with indexes - user: "Write a mutation" → args/returns validators + auth checks - user: "Optimize query" → add index and withIndex range expression - user: "Use useQuery" → show generated hook usage

cowork
Python

Principles and patterns for effective collaborative work (coworking). Use for aligning agents on communication etiquette, workspace hygiene, and feedback loops. Use proactively when coordinating multi-agent workflows, managing vault hygiene, or standardizing status updates. Examples: - user: "How should we work together?" -> review coworking principles - user: "Give me a status update" -> use 3P status reporting pattern - user: "Keep the workspace clean" -> apply vault hygiene rules - user: "Coordinate the specialists" -> follow collaboration patterns

security-vite
Python

Review Vite security audit patterns for SPA and dev server security. Use for auditing VITE_* exposure, build-time secrets, and proxy configs. Use proactively when reviewing Vite apps (vite.config.ts present). Examples: - user: "Audit Vite env vars" → check for secrets with VITE_ prefix - user: "Check Vite build config" → verify define block and source maps - user: "Review Vite dev server" → check host binding and proxy security - user: "Scan Vite bundles" → search dist/ for leaked API keys or secrets - user: "Audit Vite SPA auth" → verify server-side auth vs client route guards

vite-shadcn-tailwind4
Python

Initialize shadcn/ui + Tailwind CSS v4 in Vite projects (Vite-specific, not Next.js/Remix). Use proactively for Vite project setup, shadcn component installation, or Tailwind v4 configuration. Examples: - user: "Setup shadcn in my Vite project" → install deps, configure tailwind v4 CSS-first, init shadcn, verify components work - user: "Add shadcn to existing Vite app" → check existing config, install CLI, add components.json, update CSS imports - user: "Use Tailwind v4 with shadcn" → configure @import with @theme, remove v3 config, setup custom tokens - user: "Create Vite + React + shadcn project" → scaffold Vite, install shadcn, configure theme, add sample components

agent-architect
Python

Create and refine OpenCode agents via guided Q&A. Use proactively for agent creation, performance improvement, or configuration design. Examples: - user: "Create an agent for code reviews" → ask about scope, permissions, tools, model preferences, generate AGENTS.md frontmatter - user: "My agent ignores context" → analyze description clarity, allowed-tools, permissions, suggest improvements - user: "Add a database expert agent" → gather requirements, set convex-database-expert in subagent_type, configure permissions - user: "Make my agent faster" → suggest smaller models, reduce allowed-tools, tighten permissions

convex-runtime
Python

Implement Convex runtime features: HTTP actions, file storage, search (full text + vector), scheduling (crons + scheduled functions), and RAG patterns. Use for webhooks, uploads, search indexes, vectorSearch actions, and background workflows. Use proactively when users mention HTTP endpoints, files, search, embeddings, or cron/schedule. Examples: - user: "Add full text search" → define searchIndex + withSearchIndex query - user: "Upload files" → generate upload URL and persist storageId - user: "Vector search" → action with ctx.vectorSearch and doc fetch - user: "Run cleanup nightly" → cronJobs + function reference

convex-deploy
Python

Implement Convex deployment workflows, environments, and CI/CD configuration. Use for dev/prod/preview deployments, deploy keys, local deployments, environment variables, schema/index rollout safety, and HTTP action URLs. Use proactively when users mention deploy, preview, staging, CI, env vars, or local backend. Examples: - user: "Set up Convex deploy in CI" → configure deploy key + npx convex deploy steps - user: "How do preview deployments work?" → explain preview keys, lifecycle, limits - user: "Deploy to prod safely" → list safe schema/function change patterns - user: "Use local convex" → explain npx convex dev --local and limitations

security-secrets
Python

Review secret detection patterns and scanning workflows. Use for identifying high-signal secrets like AWS keys, GitHub tokens, and DB passwords. Use proactively during all security audits to scan code and history. Examples: - user: "Scan for secrets in this repo" → run high-signal rg patterns and gitleaks - user: "Check for AWS keys" → scan for AKIA patterns and server-side exposure - user: "Audit my .env files" → ensure secrets are gitignored and not committed - user: "Verify secret redaction" → check that reported secrets follow 4+4 format - user: "Scan build artifacts for keys" → search dist/ and build/ for secret patterns

plugin-installer
Python

Find, install, and configure OpenCode plugins from the catalog or community. Use proactively when user asks about plugins, requests new capabilities, or mentions extending OpenCode functionality. Examples: - user: "Is there a plugin for Tailwind CSS?" → list catalog, read tailwind plugin details, install if available - user: "How do I add a custom slash command?" → suggest command-creator skill or guide through opencode.json setup - user: "What plugins are available for database work?" → list catalog, filter for database-related plugins - user: "Install the playwright plugin" → read plugin file, add to opencode.json, verify installation

repo-maintenance
Python

Maintain repository integrity and documentation. Use for auditing structure, checking config validity, and reviewing inventory. Use proactively to validate the repository or sync documentation. Examples: - user: "Validate the repo" → run audit_repo.py - user: "Check agents" → run audit_repo.py, review errors - user: "Update documentation" → run sync_docs.py - user: "Check for issues" → run full audit

convex-auth
Python

Implement Convex authentication and authorization patterns with OIDC providers or Convex Auth. Use for auth provider setup, ctx.auth usage, user identity handling, and auth-aware schema patterns. Use proactively when users mention auth, JWT, Clerk/Auth0/WorkOS, or Convex Auth. Examples: - user: "Add auth to Convex" → choose provider and outline setup - user: "Get current user" → use ctx.auth.getUserIdentity and checks - user: "Service-to-service access" → use shared secret pattern

excel
Python

Handle spreadsheet operations (Excel/CSV) with high-fidelity modeling, financial analysis, and visual verification. Use for budget models, data dashboards, and complex formula-heavy sheets. Use proactively when zero formula errors and professional standards are required. Examples: - user: "Build an LBO model" -> create Excel with banking-standard formatting - user: "Analyze this data and create a dashboard" -> use openpyxl + artifact_tool - user: "Verify formulas in this spreadsheet" -> run recalc.py to check for errors

word
Python

Handle Word document (.docx) creation, editing, and analysis with high-fidelity visual review. Use for professional reports, legal documents, and tracked changes. Use proactively when quality and precise formatting are critical. Examples: - user: "Create a professional report in Word" -> use python-docx with render loops - user: "Draft a legal contract with redlines" -> use ooxml redlining workflow - user: "Extract text from this DOCX while preserving structure" -> use pandoc markdown conversion

create-opencode-plugin
Python

Create OpenCode plugins using the @opencode-ai/plugin SDK. Use for building custom tools, event hooks, auth providers, or tool execution interception. Use proactively when developing new plugins in .opencode/plugin/ or ~/.config/opencode/plugin/. Examples: - user: "Create a plugin to block dangerous commands" → implement tool execution before hook with blocking logic - user: "Add a custom tool for jira" → design tool schema and implementation using SDK context - user: "Show toast on file edit" → react to file edit events and display status message - user: "Build a custom auth provider" → implement auth flow for new model provider - user: "Intercept git commits" → add hook to validate commit messages before execution

security-nextjs
Python

Review Next.js security audit patterns for App Router and Server Actions. Use for auditing NEXT_PUBLIC_* exposure, Server Action auth, and middleware matchers. Use proactively when reviewing Next.js apps. Examples: - user: "Scan Next.js env vars" → find leaked secrets with NEXT_PUBLIC_ prefix - user: "Audit Server Actions" → check for missing auth and input validation - user: "Review Next.js middleware" → verify matcher coverage for protected routes - user: "Check Next.js API routes" → verify auth in app/api and pages/api - user: "Secure Next.js headers" → audit next.config.js for security headers

FAQ

Frequently Asked Questions

Common questions about agent skills, how they work, and how to use this directory.

An agent skill is a packaged unit of behavior, including prompts, tool wiring, and documentation, that you can install into a compatible AI agent or IDE to give it a new capability. Instead of re-explaining a task every time, you install a skill once and the agent can invoke it whenever it is relevant. This directory lists skills you can use with clients like Claude Code, Codex, and other compatible agents.

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