writing-skills
[ Featured ]writing-skills is a technique for applying test-driven development to process documentation, helping developers create effective skills for AI agents.
Browse and install thousands of AI Agent skills in the Killer-Skills directory. Supports Claude Code, Windsurf, Cursor, and more.
writing-skills is a technique for applying test-driven development to process documentation, helping developers create effective skills for AI agents.
Task orchestration for AI agents via MCP. SQLite-backed, native git integration (gix).
This skill should be used when the user asks to update documentation for my changes, check docs for this PR, what docs need updating, sync docs with code, scaffold docs for this feature, document this feature, review docs completeness, add docs for this change, what documentation is affected, docs impact, or mentions docs/, docs/01-app, docs/02-pages, MDX, documentation update, API reference, .mdx files. Provides guided workflow for updating Next.js documentation based on code changes.
implementation-runner is a skill that automates the implementation process for AI agents, using inputs like analysisContext and repo data to define and record changes
Apex: Idea-to-Documentation Agent — converts raw ideas into production-ready documentation packs
orpc is a lightweight RPC framework used for building efficient and scalable applications, utilizing the RPC version of ORPC.
dqmc-advanced is a skill that provides advanced functionality for AI agents, including unequal-time measurements and analytic continuation.
spec-json-schema is a JSON Schema Validation layer that checks input data structure, type, and constraints, supporting JSON Schema Draft 2020-12.
enhance-prompt is a skill that optimizes prompts for Stitch, a UI generation tool, to produce better results by following the Stitch Effective Prompting Guide.
Kiro Directory Layout is a configuration setup for AI agents, organizing global and local settings within a structured directory hierarchy.
code-style is a set of guidelines for formatting and naming Python code, including the use of Ruff, snake_case, and type hints to ensure consistency and readability.
vector-db-storage is a skill that enables efficient storage and indexing of vector data, supporting multiple storage backends and persistence options.