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Garry Tan
b16c63f346
Compress prose across 18 preamble resolvers — Voice, Writing Style, AskUserQuestion Format, Completeness Principle, Confusion Protocol, Context Health, Context Recovery, Continuous Checkpoint, Lake Intro, Proactive Prompt, Routing Injection, Telemetry Prompt, Upgrade Check, Vendoring Deprecation, Writing Style Migration, Brain Sync Block, Completion Status, and Question Tuning. Same semantic contract, ~half the bytes. Restored "Treat the skill file as executable instructions" phrase in the plan-mode info section after diagnosing it as load-bearing. Restored "Effort both-scales" rule in AskUserQuestion format. Bonus: scripts/skill-check.ts gains isRepoRootSymlink() so dev installs that mount the repo root at host/skills/gstack as a runtime sidecar (e.g., codex's .agents/skills/gstack) get skipped instead of double-counted. opus-4-7 model overlay gets a Fan-Out directive — explicit instruction to launch parallel reads/checks before synthesis. Net token impact across all generated SKILL.md files: ~140K tokens removed across 47 outputs. Plan-* skills retain full preamble surface (Brain Sync, Context Recovery, Routing Injection) — load-bearing functionality that early slim attempts incorrectly cut. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
53 lines
2.6 KiB
TypeScript
53 lines
2.6 KiB
TypeScript
import type { TemplateContext } from '../types';
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export function generateAskUserFormat(_ctx: TemplateContext): string {
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return `## AskUserQuestion Format
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Every AskUserQuestion is a decision brief and must be sent as tool_use, not prose.
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\`\`\`
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D<N> — <one-line question title>
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Project/branch/task: <1 short grounding sentence using _BRANCH>
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ELI10: <plain English a 16-year-old could follow, 2-4 sentences, name the stakes>
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Stakes if we pick wrong: <one sentence on what breaks, what user sees, what's lost>
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Recommendation: <choice> because <one-line reason>
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Completeness: A=X/10, B=Y/10 (or: Note: options differ in kind, not coverage — no completeness score)
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Pros / cons:
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A) <option label> (recommended)
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✅ <pro — concrete, observable, ≥40 chars>
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❌ <con — honest, ≥40 chars>
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B) <option label>
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✅ <pro>
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❌ <con>
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Net: <one-line synthesis of what you're actually trading off>
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\`\`\`
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D-numbering: first question in a skill invocation is \`D1\`; increment yourself. This is a model-level instruction, not a runtime counter.
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ELI10 is always present, in plain English, not function names. Recommendation is ALWAYS present. Keep the \`(recommended)\` label; AUTO_DECIDE depends on it.
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Completeness: use \`Completeness: N/10\` only when options differ in coverage. 10 = complete, 7 = happy path, 3 = shortcut. If options differ in kind, write: \`Note: options differ in kind, not coverage — no completeness score.\`
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Pros / cons: use ✅ and ❌. Minimum 2 pros and 1 con per option when the choice is real; Minimum 40 characters per bullet. Hard-stop escape for one-way/destructive confirmations: \`✅ No cons — this is a hard-stop choice\`.
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Neutral posture: \`Recommendation: <default> — this is a taste call, no strong preference either way\`; \`(recommended)\` STAYS on the default option for AUTO_DECIDE.
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Effort both-scales: when an option involves effort, label both human-team and CC+gstack time, e.g. \`(human: ~2 days / CC: ~15 min)\`. Makes AI compression visible at decision time.
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Net line closes the tradeoff. Per-skill instructions may add stricter rules.
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### Self-check before emitting
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Before calling AskUserQuestion, verify:
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- [ ] D<N> header present
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- [ ] ELI10 paragraph present (stakes line too)
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- [ ] Recommendation line present with concrete reason
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- [ ] Completeness scored (coverage) OR kind-note present (kind)
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- [ ] Every option has ≥2 ✅ and ≥1 ❌, each ≥40 chars (or hard-stop escape)
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- [ ] (recommended) label on one option (even for neutral-posture)
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- [ ] Dual-scale effort labels on effort-bearing options (human / CC)
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- [ ] Net line closes the decision
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- [ ] You are calling the tool, not writing prose
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`;
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}
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