Merge origin/main into /spec branch — retag v1.45.0.0 → v1.47.0.0

main moved to v1.46.0.0 (gstack v2 foundation, eval-first floor across
51 skills) while this branch was at v1.45.0.0. v1.46 also reserved
v1.45.0.0 for the design daemon feature. Retag this branch's release
v1.45.0.0 → v1.47.0.0 so it lands cleanly on top of main.

Conflict resolutions:
- VERSION: 1.47.0.0 (MINOR continues on top of main's 1.46.0.0; this
  branch is also a MINOR per scale-aware rules — new skill capability).
- CHANGELOG: rewrite this branch's release header v1.45.0.0 → v1.47.0.0.
  Keep both main entries above main's older history.

Adapts to main's eval-first floor (v1.46.0.0 test/skill-coverage-matrix.ts
+ test/skill-coverage-floor.test.ts):
- Register /spec in SKILL_COVERAGE with 3 gate entries + 2 periodic.
- Skill catalog grows 51 → 52. Floor 6/6 structural checks pass.
- Catalog tokens: 4045 → 4116 (+71 for /spec, within v1.46's ≤7000 budget).
- Trim spec frontmatter description to single-paragraph block form to
  respect v1.46's catalog-trim intent (was 14 lines / ~900 chars,
  now 5 lines / ~350 chars; routing prose stays in body sections).
- 363/363 gate-tier tests pass across skill-coverage-floor (309) +
  skill-coverage-matrix (10) + skill-size-budget (3) + parity-suite (4) +
  spec-template-invariants (35) + spec-template-sync (2).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
Garry Tan
2026-05-26 18:54:21 -07:00
132 changed files with 10945 additions and 4270 deletions
@@ -1,6 +1,7 @@
import type { TemplateContext } from '../types';
export function generateCompletenessSection(): string {
export function generateCompletenessSection(ctx?: TemplateContext): string {
if (ctx?.explainLevel === 'terse') return '';
return `## Completeness Principle — Boil the Lake
AI makes completeness cheap. Recommend complete lakes (tests, edge cases, error paths); flag oceans (rewrites, multi-quarter migrations).
@@ -1,4 +1,7 @@
export function generateConfusionProtocol(): string {
import type { TemplateContext } from '../types';
export function generateConfusionProtocol(ctx?: TemplateContext): string {
if (ctx?.explainLevel === 'terse') return '';
return `## Confusion Protocol
For high-stakes ambiguity (architecture, data model, destructive scope, missing context), STOP. Name it in one sentence, present 2-3 options with tradeoffs, and ask. Do not use for routine coding or obvious changes.`;
@@ -1,6 +1,7 @@
import type { TemplateContext } from '../types';
export function generateContextHealth(): string {
export function generateContextHealth(ctx?: TemplateContext): string {
if (ctx?.explainLevel === 'terse') return '';
return `## Context Health (soft directive)
During long-running skill sessions, periodically write a brief \`[PROGRESS]\` summary: done, next, surprises.
@@ -1,25 +1,24 @@
import * as fs from 'fs';
import * as path from 'path';
import type { TemplateContext } from '../types';
function loadJargonList(): string[] {
const jargonPath = path.join(__dirname, '..', '..', 'jargon-list.json');
try {
const raw = fs.readFileSync(jargonPath, 'utf-8');
const data = JSON.parse(raw);
if (Array.isArray(data?.terms)) return data.terms.filter((t: unknown): t is string => typeof t === 'string');
} catch {
// Missing or malformed: fall back to empty list. Writing Style block still fires,
// but with no terms to gloss — graceful degradation.
/**
* Writing Style preamble section.
*
* v1.45.0.0 changes (T3):
* - Jargon list is referenced by path, not inlined. The 80-term list was
* duplicated into every tier-2+ skill (~1.5-2 KB × 48 skills = ~80 KB
* across the corpus). The pointer asks the agent to Read the JSON on
* first jargon term encountered — one extra Read per session, but the
* per-corpus payload is ~30 bytes.
* - When `ctx.explainLevel === 'terse'`, the entire section is replaced
* with a one-line pointer. Saves ~1.5 KB per tier-2+ skill in the
* opt-in terse build.
*/
export function generateWritingStyle(ctx: TemplateContext): string {
if (ctx.explainLevel === 'terse') {
return `## Writing Style\n\nTerse mode (build-time): skip jargon glossing, outcome-framing layer, and decision-impact closers. Lead with the answer.\n`;
}
return [];
}
export function generateWritingStyle(_ctx: TemplateContext): string {
const terms = loadJargonList();
const jargonBlock = terms.length > 0
? `Jargon list, gloss on first use if the term appears:\n${terms.map(t => `- ${t}`).join('\n')}`
: `Jargon list unavailable. Skip jargon glossing until \`scripts/jargon-list.json\` is restored.`;
const jargonPath = `${ctx.paths.skillRoot}/scripts/jargon-list.json`;
return `## Writing Style (skip entirely if \`EXPLAIN_LEVEL: terse\` appears in the preamble echo OR the user's current message explicitly requests terse / no-explanations output)
@@ -32,6 +31,6 @@ Applies to AskUserQuestion, user replies, and findings. AskUserQuestion Format i
- User-turn override wins: if the current message asks for terse / no explanations / just the answer, skip this section.
- Terse mode (EXPLAIN_LEVEL: terse): no glosses, no outcome-framing layer, shorter responses.
${jargonBlock}
Curated jargon list lives at \`${jargonPath}\` (80+ terms). On the first jargon term you encounter this session, Read that file once; treat the \`terms\` array as the canonical list. The list is repo-owned and may grow between releases.
`;
}