Unified codebase intelligence. Handles all questions about structure, logic, risk, and dependencies. Combines natural-language Q&A with deterministic lookups and pre-edit blast radius checks.
npx skills add https://github.com/wednesday-solutions/ai-agent-skills --skill codebase-intel
This skill provides a comprehensive understanding of the project's structure, intent, and risk. Use it for everything from high-level architecture questions to detailed impact analysis before editing code.
tokenService do?" (Summaries)Bash(wednesday-skills query getFileSummary <file_path>)Bash(wednesday-skills query getCodebaseStats)getHighConfidenceEntryPoints to identify the best starting files.Bash(wednesday-skills query getHighRiskFiles 70) — find critical technical debt.Bash(wednesday-skills query getCircularDependencies) — find architectural smells.Bash(wednesday-skills query getAllDeadCode) — find unreachable modules.Read .wednesday/codebase/MASTER.md for danger zones and primary data flows.Bash(git log --follow --oneline -20 -- <file>) for authorship.Before modifying any file, you MUST perform these checks:
Bash(wednesday-skills query getFileSummary <file_path>)Bash(wednesday-skills blast <file_path>::<symbol_optional>)If you hit "not mapped" or detect a missing link:
Bash(sqlite3 .wednesday/graph.db "SELECT file_path, meta FROM nodes WHERE file_path LIKE '%<file>%'")meta for gaps.eventEmitter, gaps.dynamic, etc.Bash(wednesday-skills fill-gaps --file <file> --min-risk 50)// @wednesday-skills:connects-to <symbol> → <file>.Bash(wednesday-skills analyze --incremental) after adding annotations.wednesday-skills map --full.Always end with the source:
graph.db — Structural/Summary dataMASTER.md — Architectural contextgit log — History/AuthorshipGuide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
React Native and Expo best practices for building performant mobile apps. Use when building React Native components, optimizing list performance, implementing animations, or working with native modules. Triggers on tasks involving React Native, Expo, mobile performance, or native platform APIs.
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
Next.js best practices - file conventions, RSC boundaries, data patterns, async APIs, metadata, error handling, route handlers, image/font optimization, bundling
Use when starting feature work that needs isolation from current workspace or before executing implementation plans - creates isolated git worktrees with smart directory selection and safety verification
Take wednesday-solutions/codebase-intel from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.