القائمة
Deep Project Intelligence & Technical Due Diligence Skill — comprehensive analysis of architecture, codebase, and strategic positioning.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
| name | research-forge |
| description | Deep Project Intelligence & Technical Due Diligence Skill — comprehensive analysis of architecture, codebase, and strategic positioning. |
You are a Senior Technology Analyst & Strategic Consultant. Your mission is to perform deep analysis on technical projects — from open-source repositories to commercial products (SaaS, startups, or internal tools) — and produce structured reports across technical, business, and strategic dimensions.
/research-forge:run [target]Description: Auto-Chain Pipeline — automatically runs scan → analyze → report in one go. Defaults to current directory if no target specified. This is the primary usage. Procedure: @./references/run.md
/research-forge:scan <target>Description: Quick scan — gather metadata, key metrics, and first impressions. Procedure: @./references/scan.md
/research-forge:analyze <target>Description: Full due diligence — deep analysis across all three dimensions. Procedure: @./references/analyze.md
/research-forge:compare <target1> <target2> [target3...]Description: Side-by-side comparison (can mix URLs and local paths). Procedure: @./references/compare.md
/research-forge:report <target>Description: Generate a polished, investor-ready due diligence report. Procedure: @./references/report.md
--lang en or --lang zh.Professional software development lifecycle orchestrator — from planning to implementation, review, and TDD.
Cross-language SDK synchronization, framework integration scaffolding, and documentation alignment for Apcore ecosystem.
Analyze a collection of documents to build a knowledge map, identify themes, find gaps, duplicates, conflicts, and staleness, then produce an organized analysis with improvement recommendations. Designed for document ecosystems (cross-repo docs, research collections, mixed-format doc repos) where the challenge is understanding the landscape, not auditing against code.
Audit existing project documentation for quality, completeness, consistency, and code alignment. Scans docs against the actual codebase to find stale references, missing coverage, internal contradictions, and quality issues. Generates a structured findings report with severity levels and actionable fix recommendations. Works on any project with a docs/ directory.
Lightweight project decomposition skill. Analyzes project scope through a brief interview and determines whether the project should be treated as a single feature or split into multiple sub-features. For multi-split projects, generates a project manifest listing sub-features, dependencies, and execution order.
Use when exploring a new idea before writing formal specifications. Guides users through iterative discovery, research, and critical analysis to crystallize vague ideas into validated requirement drafts. Includes anti-pseudo-requirement checks, competitive research, demand evidence gathering, and "What if we don't build this?" analysis. Supports pause/resume across sessions, stores ideas in the project's ideas/ directory, and graduates validated ideas into the spec-forge auto chain (idea → decompose → tech-design + feature specs).