Search

PythonReactSEOPDF
GitHub Skill

active-reconnaissance

Replaces the work of actively investigating and identifying gaps between the ideal (user request) and reality (code/documents). Typical use cases: (1) Uncovering existing ADRs or constraints that contradict requests, (2) Identifying specific code or paths affected by abstract requests, (3) Initial risk assessment based on feasibility and technical debt.

masa-codehub☆ 0 Repository stars0 Repository forks

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

View source ↗Guides

Skill instructions

Features and purpose

Replaces the work of actively investigating and identifying gaps between the ideal (user request) and reality (code/documents). Typical use cases: (1) Uncovering existing ADRs or constraints that contradict requests, (2) Identifying specific code or paths affected by abstract requests, (3) Initial risk assessment based on feasibility and technical debt.

Quick start

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

Guides ↗

Examples

Read the usage examples in the source repository.

View source ↗

Source history

Indexed on
2026-01-20
Index updated
2026-01-26
Branch
main

Index and sync dates describe this directory. View the source repository for code history.

GitHub ↗

chat Comments (0)

chat_bubble_outline

No comments yet. Be the first to share your thoughts!