Loading...
Loading...
Found 1,517 Skills
AI SDLC change-impact and lifecycle recovery workflow. Use when a requirement, acceptance criterion, decision, API contract, risk assumption, or other traced source changed after downstream artifacts were created and an AI assistant must identify stale artifacts, affected lifecycle stages, and evidence-backed reopen or revalidation actions without silently rewriting authoritative state. Supports `--quick-flow` for focused trace scanning and `--full-flow` for strict state and source-evidence gates.
Create the brain from scratch — the gateway skill. If AI First OS is not present it installs the complete system first, then interviews the operator with five questions and writes the minimum node structure — identity, voice, root resolver, the tree of paths a scan walks, and one folder per organization. Manually triggered, once per brain, before any other tool.
Use the PlanetScale CLI (pscale) from automated agents with --format json, auth check, pscale sql, and per-command --force. Run before other PlanetScale skills when driving pscale directly. Use when the user asks to automate pscale, run CLI commands headless, or verify pscale auth from an agent.
Git worktree management with safe defaults and flexible placement strategies. Use when users ask to: (1) create a new worktree or work on multiple branches in parallel, (2) list existing worktrees, (3) remove or clean up worktrees, (4) manage worktree placement (subfolder vs sibling directory), or any other git worktree operations.
Extract a project's logo from its website, brand kit, or other sources
Shared Python library for Intelligems Analytics skills. Sets up the workspace, API client, metric helpers, and configuration. Run this before using any other Intelligems Analytics skill.
Effective communication strategies for AI-assisted development. Learn context-first prompting, phased interactions, iterative refinement, and validation techniques to get better results from Claude and other AI coding assistants.
Research-aligned self-consistency for debugging. Spawns independent solver agents that each explore and debug the problem from scratch. Uses majority voting. Based on "Self-Consistency Improves Chain of Thought Reasoning" (Wang et al., 2022). Use for critical bugs, algorithms, or when other approaches have failed.
Provides comprehensive guidance for adding Java code comments following industry standards and best practices. This skill helps add class-level comments, method-level comments, and field-level comments to Java code. Use when the user wants to add comments to Java code, needs to document Java classes/methods/fields, wants to improve code documentation, or needs to generate JavaDoc comments. This skill covers Controller, Service, ServiceImpl, Mapper, Model, Entity, BO (Business Object), DTO, VO, and other common Java component types. The skill follows a systematic workflow: scan codebase, identify components, create todo list, and add comments in order (class comments → method comments → field comments).
Documentation-driven project development workflow. Intelligently determines task types, executes existing plans or generates new plans using feature-dev. **Use Cases:** - Complete project documentation exists, need to execute development tasks - User specifies to execute a certain plan (e.g., "Execute plan 001") - User requests to develop new features (automatically uses feature-dev to generate plans) **Prerequisites:** - The project should already have a docs/ documentation structure (PRD, SAD, etc.) - For new projects, it is recommended to first use the project-docs-setup skill to create complete documentation - If plan formulation is needed, it is recommended to use the project-planning skill **Relationship with Other Skills:** - project-docs-setup: Creates project documentation structure - project-planning: Formulates development plans (requirement clarification + design discussion + plan writing) - project-workflow: Executes development plans + updates documentation - Recommended workflow: project-docs-setup → project-planning → project-workflow **Trigger Methods:** - "Execute plan 001" / "Continue 001-user-authentication" - "Start development" / "Execute plan" / "Continue last task"
Run ESLint with security plugins on JavaScript/TypeScript code. Detects eval usage, non-literal RegExp, prototype pollution, and other JS/TS security anti-patterns.
REST API for cross-chain and same-chain token swaps, bridging, and DeFi operations. USE THIS SKILL WHEN USER WANTS TO: - Swap tokens between different blockchains (e.g., "swap USDC on Ethereum to ETH on Arbitrum") - Bridge tokens to another chain (e.g., "move my ETH from mainnet to Optimism") - Swap tokens on the same chain with best rates (e.g., "swap ETH to USDC on Polygon") - Find the best route or quote for a token swap across chains - Execute DeFi operations across chains (zap, bridge+swap+deposit, yield farming entry) - Build multi-chain payment flows (accept any token, settle in specific token) - Check supported chains, tokens, or bridges for cross-chain transfers - Track status of a cross-chain transaction - Build backend services (Python, Go, Rust, etc.) that need cross-chain swaps - Integrate cross-chain functionality via HTTP/REST (not JavaScript SDK)