indexion-kgf 是做什麼的？
調試和檢查 KGF 規格 — 檢視分詞結果、解析樹以及從原始檔案中提取的邊。在新增/修正語言支援或 indexion 的分析輸出看起來有誤時使用。
調試和檢查 KGF 規格 — 檢視分詞結果、解析樹以及從原始檔案中提取的邊。在新增/修正語言支援或 indexion 的分析輸出看起來有誤時使用。
此技能「trkbt10/indexion-kgf」專為除錯與檢查 KGF 規格而設計。它能讓開發者直接檢視從原始程式碼檔案中產生的分詞結果、解析樹以及提取的邊緣，從而深入理解語言支援的解析過程。當新增或修正某種語言的支援時，此技能可協助驗證 tokenization 和解析是否正確；若 indexion 的分析輸出結果異常，也可用來比對預期結構與實際輸出，快速定位問題根源。它支援在 CLI 環境中使用，主要與 indexion 分析工具配合，適合開發者或 AI 代理在整合開發流程中進行語言支援的除錯與最佳化。
npx skills add https://github.com/trkbt10/indexion-skills/tree/main/skills/indexion-kgfInstalled? Explore more 研究與資料分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
調試和檢查 KGF 規格 — 檢視分詞結果、解析樹以及從原始檔案中提取的邊。在新增/修正語言支援或 indexion 的分析輸出看起來有誤時使用。
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.
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`.
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.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.