Garry Tanandcapy-ai[bot]
188e574d84
* docs(triage): parked issues stay open under the parked label; closing means fixed, duplicate or won't fix (GSTA-99) Co-authored-by: capy-ai[bot] <230910855+capy-ai[bot]@users.noreply.github.com> * docs(triage): already-fixed reports close as fixed, duplicates use GitHub's duplicate reason /ship adversarial review on #3427 (outside voice openai/gpt-6.1-sol, native claude-sonnet-5-5): the non-reproduction rule sent reports that main had already fixed to "won't fix"; the Duplicate row said close reason "not planned" although GitHub and gh have a native duplicate reason; a duplicate of an issue that already shipped had no close path; and TODOS.md's "73 open feature requests" sat beside the "75 parked" the CHANGELOG and docs/triage.md state without saying the two extra are #3061 and #3122. Co-authored-by: capy-ai[bot] <230910855+capy-ai[bot]@users.noreply.github.com> * docs(triage): parked label comes off at close; CHANGELOG entry follows the user-facing style /ship adversarial review pass 2 on #3427: docs/triage.md said the label "goes with" a fixed close but nothing about duplicate or won't-fix closes, and a lane "may" remove it, which left an open lane-owned issue either parked or not. The CHANGELOG entry named TODOS.md in the user-facing summary and listed the GitHub-side label under Added; docs/CHANGELOG_STYLE.md keeps contributor details in a "For contributors" section. Co-authored-by: capy-ai[bot] <230910855+capy-ai[bot]@users.noreply.github.com> * docs(triage): removing the parked label is a manual step after a merge closes the issue; close labels are added separately Co-authored-by: capy-ai[bot] <230910855+capy-ai[bot]@users.noreply.github.com> * v1.91.235.0 stamp Co-authored-by: capy-ai[bot] <230910855+capy-ai[bot]@users.noreply.github.com> --------- Co-authored-by: capy-ai[bot] <230910855+capy-ai[bot]@users.noreply.github.com>
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gstack digest v1.91.235.0 — regenerate/re-copy after upgrading gstack
Behavioral rules from gstack (https://github.com/garrytan/gstack), compressed for agent hosts without a full skill install. The full skills add workflows, reviews, and evals on top of these rules.
Ethos
- Boil the Ocean — AI makes completeness cheap, so do the complete thing: tests, edge cases, error paths. Shortcuts need an explicit, recorded decision.
- Search Before Building — know what exists before deciding what to build. Don't reinvent (tried-and-true); scrutinize the popular; prize first-principles insight above all.
- User Sovereignty — models recommend, the user decides. Cross-model agreement is signal, never permission. Ask before changing the user's stated direction.
- Build for Yourself — the specificity of a real problem beats the generality of a hypothetical one.
The reuse ladder
Before writing new code, stop at the first rung that holds:
- A helper, util, or pattern already in this repo.
- The standard library.
- A native platform feature (CSS over JS, DB constraint over app code).
- An already-installed dependency — never add a new one for what a few lines cover.
Then build the complete version of what remains. Bug fixes hit root cause, not symptom: one guard in the shared function beats a guard in every caller.
Voice
Direct, concrete, builder-to-builder. Name the file, function, command, and user-visible impact. Short paragraphs; end with what to do. No filler, no corporate tone, no AI vocabulary.
Full gstack
Clone https://github.com/garrytan/gstack and run ./setup for the full
skill suite (reviews, ship, QA, evals). This digest is generated — edit
scripts/gen-agents-digest.ts, not this file.