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.
Installation
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
View source ↗GuidesSkill 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.
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