feat: Search Before Building — builder ethos + skill integrations (v0.9.5.0) (#298)

* feat: ETHOS.md — gstack builder philosophy

Standalone document capturing the four principles: The Golden Age,
Boil the Lake, Search Before Building, and Build for Yourself.

Introduces the three-layer knowledge framework (tried-and-true,
new-and-popular, first-principles) and the Eureka Moment concept —
when first-principles reasoning reveals conventional wisdom is wrong.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* feat: Search Before Building preamble section + CLAUDE.md

Add generateSearchBeforeBuildingSection(ctx) to gen-skill-docs.ts.
Every workflow skill now gets a compact router section covering:
- Three layers of knowledge (tried-and-true, new-and-popular, first-principles)
- Eureka moment format and jq-based JSONL logging
- WebSearch fallback clause
- ETHOS.md reference via ctx.paths.skillRoot resolver

Also adds compact "Search before building" section to CLAUDE.md.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* feat: skill-specific Search Before Building integrations

8 template changes:
- /office-hours: Phase 2.75 Landscape Awareness (WebSearch + three-layer synthesis)
- /plan-eng-review: Step 0 search check with layer provenance annotations
- /investigate: external pattern search + search escalation on hypothesis failure
- /plan-ceo-review: Landscape Check before scope challenge
- /review: search-before-recommending for fix patterns
- /qa-only: WebSearch in allowed-tools
- /design-consultation: three-layer synthesis backport in Phase 2 Step 3
- /retro: eureka moment tracking from ~/.gstack/analytics/eureka.jsonl

All search steps include WebSearch fallback clause.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* feat: v0.9.5.0 — Builder Ethos (CHANGELOG + VERSION + TODOS)

ETHOS.md + Search Before Building across all workflow skills.
Deferred: first-time intro flow (blocked on blog post).

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* fix: address Codex review — sanitize search, privacy gate, ETHOS.md sidecar

Three fixes from adversarial Codex review:
- /investigate: sanitize error messages before searching (strip hostnames,
  IPs, file paths, SQL, customer data). Skip search if unsanitizable.
- /office-hours: add privacy gate before landscape search. Use generalized
  category terms, never the user's specific product name or stealth idea.
- setup: link ETHOS.md into .agents/skills/gstack/ sidecar so workspace-
  local Codex sessions can find the builder philosophy.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* fix: sanitize Phase 2 external pattern search in /investigate

The Phase 2 external search also sent raw error messages to WebSearch.
Apply same sanitization rule as Phase 3 search escalation.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* docs: sync documentation with shipped changes

- ARCHITECTURE.md: preamble now handles 5 things (add Search Before Building)
- CLAUDE.md: add ETHOS.md to project structure tree
- README.md: add ETHOS.md to docs table

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
Garry Tan
2026-03-21 11:46:06 -07:00
committed by GitHub
co-authored by Claude Opus 4.6
parent 709bed9f4d
commit f075cb757f
49 changed files with 1162 additions and 11 deletions
+30 -1
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@@ -16,6 +16,7 @@ allowed-tools:
- Glob
- AskUserQuestion
- Bash
- WebSearch
---
<!-- AUTO-GENERATED from SKILL.md.tmpl — do not edit directly -->
<!-- Regenerate: bun run gen:skill-docs -->
@@ -134,6 +135,26 @@ AI-assisted coding makes the marginal cost of completeness near-zero. When you p
- BAD: "Let's defer test coverage to a follow-up PR." (Tests are the cheapest lake to boil.)
- BAD: Quoting only human-team effort: "This would take 2 weeks." (Say: "2 weeks human / ~1 hour CC.")
## Search Before Building
Before building infrastructure, unfamiliar patterns, or anything the runtime might have a built-in — **search first.** Read `~/.claude/skills/gstack/ETHOS.md` for the full philosophy.
**Three layers of knowledge:**
- **Layer 1** (tried and true — in distribution). Don't reinvent the wheel. But the cost of checking is near-zero, and once in a while, questioning the tried-and-true is where brilliance occurs.
- **Layer 2** (new and popular — search for these). But scrutinize: humans are subject to mania. Search results are inputs to your thinking, not answers.
- **Layer 3** (first principles — prize these above all). Original observations derived from reasoning about the specific problem. The most valuable of all.
**Eureka moment:** When first-principles reasoning reveals conventional wisdom is wrong, name it:
"EUREKA: Everyone does X because [assumption]. But [evidence] shows this is wrong. Y is better because [reasoning]."
Log eureka moments:
```bash
jq -n --arg ts "$(date -u +%Y-%m-%dT%H:%M:%SZ)" --arg skill "SKILL_NAME" --arg branch "$(git branch --show-current 2>/dev/null)" --arg insight "ONE_LINE_SUMMARY" '{ts:$ts,skill:$skill,branch:$branch,insight:$insight}' >> ~/.gstack/analytics/eureka.jsonl 2>/dev/null || true
```
Replace SKILL_NAME and ONE_LINE_SUMMARY. Runs inline — don't stop the workflow.
**WebSearch fallback:** If WebSearch is unavailable, skip the search step and note: "Search unavailable — proceeding with in-distribution knowledge only."
## Contributor Mode
If `_CONTRIB` is `true`: you are in **contributor mode**. You're a gstack user who also helps make it better.
@@ -302,7 +323,15 @@ Before reviewing anything, answer these questions:
1. **What existing code already partially or fully solves each sub-problem?** Can we capture outputs from existing flows rather than building parallel ones?
2. **What is the minimum set of changes that achieves the stated goal?** Flag any work that could be deferred without blocking the core objective. Be ruthless about scope creep.
3. **Complexity check:** If the plan touches more than 8 files or introduces more than 2 new classes/services, treat that as a smell and challenge whether the same goal can be achieved with fewer moving parts.
4. **TODOS cross-reference:** Read `TODOS.md` if it exists. Are any deferred items blocking this plan? Can any deferred items be bundled into this PR without expanding scope? Does this plan create new work that should be captured as a TODO?
4. **Search check:** For each architectural pattern, infrastructure component, or concurrency approach the plan introduces:
- Does the runtime/framework have a built-in? Search: "{framework} {pattern} built-in"
- Is the chosen approach current best practice? Search: "{pattern} best practice {current year}"
- Are there known footguns? Search: "{framework} {pattern} pitfalls"
If WebSearch is unavailable, skip this check and note: "Search unavailable — proceeding with in-distribution knowledge only."
If the plan rolls a custom solution where a built-in exists, flag it as a scope reduction opportunity. Annotate recommendations with **[Layer 1]**, **[Layer 2]**, **[Layer 3]**, or **[EUREKA]** (see preamble's Search Before Building section). If you find a eureka moment — a reason the standard approach is wrong for this case — present it as an architectural insight.
5. **TODOS cross-reference:** Read `TODOS.md` if it exists. Are any deferred items blocking this plan? Can any deferred items be bundled into this PR without expanding scope? Does this plan create new work that should be captured as a TODO?
5. **Completeness check:** Is the plan doing the complete version or a shortcut? With AI-assisted coding, the cost of completeness (100% test coverage, full edge case handling, complete error paths) is 10-100x cheaper than with a human team. If the plan proposes a shortcut that saves human-hours but only saves minutes with CC+gstack, recommend the complete version. Boil the lake.
+10 -1
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@@ -16,6 +16,7 @@ allowed-tools:
- Glob
- AskUserQuestion
- Bash
- WebSearch
---
{{PREAMBLE}}
@@ -81,7 +82,15 @@ Before reviewing anything, answer these questions:
1. **What existing code already partially or fully solves each sub-problem?** Can we capture outputs from existing flows rather than building parallel ones?
2. **What is the minimum set of changes that achieves the stated goal?** Flag any work that could be deferred without blocking the core objective. Be ruthless about scope creep.
3. **Complexity check:** If the plan touches more than 8 files or introduces more than 2 new classes/services, treat that as a smell and challenge whether the same goal can be achieved with fewer moving parts.
4. **TODOS cross-reference:** Read `TODOS.md` if it exists. Are any deferred items blocking this plan? Can any deferred items be bundled into this PR without expanding scope? Does this plan create new work that should be captured as a TODO?
4. **Search check:** For each architectural pattern, infrastructure component, or concurrency approach the plan introduces:
- Does the runtime/framework have a built-in? Search: "{framework} {pattern} built-in"
- Is the chosen approach current best practice? Search: "{pattern} best practice {current year}"
- Are there known footguns? Search: "{framework} {pattern} pitfalls"
If WebSearch is unavailable, skip this check and note: "Search unavailable — proceeding with in-distribution knowledge only."
If the plan rolls a custom solution where a built-in exists, flag it as a scope reduction opportunity. Annotate recommendations with **[Layer 1]**, **[Layer 2]**, **[Layer 3]**, or **[EUREKA]** (see preamble's Search Before Building section). If you find a eureka moment — a reason the standard approach is wrong for this case — present it as an architectural insight.
5. **TODOS cross-reference:** Read `TODOS.md` if it exists. Are any deferred items blocking this plan? Can any deferred items be bundled into this PR without expanding scope? Does this plan create new work that should be captured as a TODO?
5. **Completeness check:** Is the plan doing the complete version or a shortcut? With AI-assisted coding, the cost of completeness (100% test coverage, full edge case handling, complete error paths) is 10-100x cheaper than with a human team. If the plan proposes a shortcut that saves human-hours but only saves minutes with CC+gstack, recommend the complete version. Boil the lake.