absolute
A development workflow engine for AI coding agents, with a build loop covering planning through documentation and skills for security audits, lint and type debt cleanup, flaky test fixes, and docs writing.

A development workflow engine for AI coding agents, with a build loop covering planning through documentation and skills for security audits, lint and type debt cleanup, flaky test fixes, and docs writing.
Vulnerability and security scan (defensive, your own repo): dependency CVEs plus risky code patterns (secrets, injection, weak…
Lint and typecheck debt paydown: clear pre-existing repo-wide lint/type violations and suppressions (@ts-ignore, # type: ignore)…
Flaky test fixes: detect nondeterministic tests empirically (repeat/shuffle/parallel runs), diagnose the root cause, fix it —…
Diátaxis-driven documentation for AI coding agents: write, improve, or audit tutorials, how-tos, reference, explanation, and…
One-time setup for absolute: interview how you want it to behave (output style, autonomy, TDD strictness, spec dir, families) +…
Dead code and dependency cleanup, repo-wide: unused deps, unreferenced exports, unreachable code, orphaned files — removed only…
Use when the user wants to simplify, clean up, refactor, tidy, or refine code — their staged/unstaged git changes or a target…
Lightweight standalone design spec for AI coding agents: codebase scan → bounded clarify pass (3–5 questions, not a grill) →…
Build polished, intentional UIs with concrete CSS/Tailwind values — typography, color, layout, spacing, dark mode, accessibility,…
Dependency upgrades: outdated/vulnerable deps planned into semver waves (patch/minor batched, majors gated and changelog-read),…
End-to-end, phase-gated SDLC for AI coding agents: relentless design interview → reviewed spec → dependency-graphed task board →…
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