agent-toolkit
Helps an AI agent handle routine engineering chores: tidying a project's agent setup, attaching files to tickets, checking how much of a ticket is already built, and writing lean docs.

Helps an AI agent handle routine engineering chores: tidying a project's agent setup, attaching files to tickets, checking how much of a ticket is already built, and writing lean docs.
Make a project agent-ready by converging it toward a canonical agent-neutral structure. Re-runnable, and doubles as an audit.
Attach pasted images, files or URLs to a fetched ticket, saved beside its ticket file and referenced from it, or fill an…
Check how much of a ticket is already implemented and save a per-requirement status report.
Draft, rewrite, or refine a doc for maximum token economy without losing any rule or intent. Use for docs kept in version control…
Author or refine a skill for maximum token economy without losing intent. Use when creating any new skill or editing an existing…
Audit what auto-loads into an agent session's context window and suggest lean, reversible fixes to cut startup tokens.
Turn a refined requirements document into a structured implementation PLAN.md a fresh session can execute. Planning only —…
Turn a ticket, requirements document or code change (branch, PR, commit range, diff) into a concise QA manual-test file a…
Execute one task of a plan's task breakdown, then stop for review.
Explain code, a decision, a recap, or a question to the user, or write a document a human reads, so a fluent but often non-native…
Extract the conventions a repo's reviewers enforce in inline PR review comments into a per-reviewer rules doc; re-runs resume…
Fetch all reviewer comments left on your own pull request (GitHub, Azure DevOps, …) and save them as a self-contained markdown…
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