README construction — initialize template structure, generate per-package READMEs from doc comments, plan writing tasks, assemble root README from docs/ and package READMEs via doc.json config, and verify edits with `plan drift`.
npx skills add https://github.com/trkbt10/indexion-skills/tree/main/skills/indexion-readmeREADME construction — initialize template structure, generate per-package READMEs from doc comments, plan writing tasks, assemble root README from docs/ and package READMEs via doc.json config, and verify edits with plan drift.
This repo contains 8 individual skills — each has its own dedicated page.
Generate and use a pre-edit structure brief so coding agents learn likely owners, consumer surfaces, and unsafe edit locations before implementing.
Documentation analysis — assess coverage, detect code-to-doc drift with plan reconcile, visualize dependencies with doc graph. Answers "what needs docs?" and "are docs still accurate?"
Detect and review name/content drift in code using `indexion identity audit`, then plan verified renames, moves, folder changes, or splits.
Debug and inspect KGF specs — view tokenization results, parse trees, and extracted edges from source files. Use when adding/fixing language support or when indexion's analysis output looks wrong.
After writing code, detect and clean up duplication at three levels — copy-paste blocks, cross-package shared code, unnecessary wrappers, and concept-level SoT violations. Detect with indexion, fix, and verify.
Generate SDD requirements from RFCs/specs and quantitatively verify implementation conformance. spec draft → spec align → spec verify → automated validation loop with codex/claude. Operate spec-to-impl drift gates as CI checks.
Split text into contextual chunks for RAG/embedding pipelines. Document segmentation and section extraction using window, tfidf, punctuation, or hybrid strategies chosen by intent.
Project wiki lifecycle — create pages, track source changes with ingest, update stale pages, lint structural integrity, detect code-to-doc drift with reconcile, and manage search indexes. A runbook for navigating and maintaining the wiki as an agent.
W-Agent 是一个生产级 Python 智能体开发框架，学习 Spring 架构思想，为复杂 Agent 应用提供企业级基础设施。内置 IoC 容器（三级缓存解决循环依赖）、声明式 AOP 切面、重试/断路器弹性模式，以及 Wasm/nsjail 双重沙箱安全执行环境。支持配置热更新、分布式锁、OpenTelemetry 可观测性与 FastAPI 无缝集成，并兼容 LangChain 工具生态。无需从头搭建脚手架，W-Agent 让智能体应用具备高内聚、易测试、可运维的工业化特质。
Agent skill repository for finyorke/claude-skills.
MUST be used whenever fixing test coverage for a Flows app to meet the 80% line coverage hard gate. This skill finds AND fixes coverage gaps — it configures tooling, writes missing tests, covers untested paths, and refactors code for testability. It does not just report. Triggers: test coverage, fix tests, write tests, add tests, coverage fix, 80% coverage, coverage gate, missing tests, testability, vitest coverage, jest coverage.
Ten Commandments for Coding Agents — a minimal AGENTS.md / CLAUDE.md drop-in for Claude Code, Codex, Gemini CLI, OpenCode, Cursor and any tool that reads agent rules. KO/EN bilingual. GitHub Pages: https://cskwork.github.io/coding-agent-rules/
Automate Prerender tasks via Rube MCP (Composio). Always search tools first for current schemas.
Reusable AI coding agents skills