Eiirp

EIIRP — Everything In Its Right Place

"Everything in its right place" — Radiohead, Kid A

Contract

After any significant work, EIIRP organizes ALL outputs across two domains:

Knowledge domain (brain):

1. Every piece of knowledge lands in the correct brain location.
2. All sources are cited and linked.
3. The active schema pack is updated if a new content type emerged.
4. Entity pages created/updated with cross-links.

Capability domain (skills): 5. Every reusable pattern becomes a composable skill. 6. Existing skills are audited for DRY violations. 7. Skill graph is MECE — no gaps, no overlaps, no ambiguous routing.

The meta-guarantee: Nothing produced during significant work lives only in chat. Knowledge → brain. Patterns → skills. Everything in its right place.

When to Use

• After completing a deep research thread.
• After building something new (code, pipeline, workflow).
• After a multi-source analysis that produced significant findings.
• When the user says "EIIRP", "organize this", "DRY this up", "make this re-doable".
• When a work session produced both knowledge AND new capabilities.
• When you notice skill overlap, duplication, or gaps.

Phase 1: INVENTORY — What did we produce?

Scan the current session/thread and identify ALL outputs across both domains.

Knowledge outputs

□ Primary findings (the synthesis)
□ Source documents (URLs, PDFs, articles, tweets)
□ Entity mentions (people, companies, organizations, places)
□ Concepts/frameworks (reusable mental models)
□ Data artifacts (structured data, timelines, statistics)

Capability outputs

□ New skills created or modified
□ Scripts/code written (should they be in lib/ or scripts/?)
□ Methodology used (search patterns, source chains, verification steps)
□ Workflows that could be automated (cron, pipeline, webhook)
□ Patterns that will recur (→ candidate for skillification)

Produce a manifest:

## EIIRP Manifest
- Topic: [topic]
- Date: [date]
- Knowledge outputs: [count] (sources, entities, concepts)
- Capability outputs: [count] (skills, scripts, patterns)
- Reusable methodology: [yes/no — describe if yes]

Phase 2: TAXONOMY — Where does each piece go?

Read the active schema pack first (the single source of truth for filing decisions in v0.39+):

gbrain schema show --json

The pack's page_types[] lists every directory the brain accepts plus the primitive each maps to. Walk it for each output and pick the directory whose path_prefixes matches the content's primary subject.

If brain-taxonomist is installed, INVOKE IT for ambiguous cases. It runs the same decision protocol against the active pack and gives you a single recommended filing path with reasoning.

Output: a filing plan table:

| Content | Brain path | Action |
|---------|-----------|--------|
| Primary research | reference/.../page.md | CREATE |
| Person X | people/x-slug.md | CREATE |
| Person Y | people/y-slug.md | UPDATE (already exists) |
| ... | ... | ... |

Phase 3: SCHEMA CHECK — Does the active pack cover this content?

This is where EIIRP closes the schema-derivation loop. If the work produced content that doesn't fit any existing page_types, propose adding a new type via the v0.39 cathedral:

# What's emerging in the brain that the active pack doesn't cover?
gbrain schema detect --json

# LLM-refined suggestions (heuristic when no API key set).
gbrain schema suggest --json

# Review what's pending; promote or ignore each candidate.
gbrain schema review-candidates --json
gbrain schema review-candidates --apply <prefix-or-type-name>

Confidence floor (codex finding #9): when gbrain schema suggest returns confidence < 0.6 on a proposed type, DO NOT auto-apply. Surface the suggestion to the user and let them choose. The schema-cathedral ships the primitives; EIIRP enforces the human-in-the-loop gate.

If schema needs change:

• Propose the addition to the user before running review-candidates --apply.
• Document the change in the commit message of the next sync.
• The schema-pack engine writes the delta to ~/.gbrain/schema-pack-deltas/ — review and merge into the active pack via gbrain schema edit (or hand-edit the YAML).

Phase 4: FILE — Create enriched brain pages

For each item in the filing plan:

4a. Primary research page

Use the brain page template. MUST include:

• Proper frontmatter (type, title, date, tags, sources)
• State section — current status/key findings
• Sources section — every source with URL, author, date, language
• Timeline section — chronological development
• Entity links — backlinks to all related brain pages
• See Also — related concepts, reference pages

4b. Entity pages (people, companies)

For each entity mentioned:

• Check if a brain page exists (gbrain search "<name>" or gbrain get_page people/<slug>).
• If exists: update State, append Timeline entry citing this research.
• If not: create with enrichment.

4c. Commit and verify

After ALL pages are written, run gbrain sync (or commit + push in the brain repo). Verify every link resolves.

Phase 5: SKILL GRAPH AUDIT — DRY + MECE on capabilities

This phase operates on the SKILL graph, not just the research.

5a. New pattern identification

Ask: did this work reveal REPEATABLE patterns that will recur?

Indicators of a reusable pattern:

• You used a specific sequence of searches across multiple sources.
• You followed a specific verification/cross-referencing methodology.
• You wrote code that could be parameterized for different inputs.
• The output format is generalizable.
• The user is likely to ask for similar work on a different topic.

For each identified pattern:

1. Identify the composable pieces (DRY, MECE):
   • Shared logic → lib/ (not copy-pasted into skills)
   • Search methodology → skill or lib function
   • Output template → brain template or skill phase
   • Filing logic → already covered by brain-taxonomist + active pack
2. DRY check via the v0.19 resolver:

   gbrain check-resolvable
   

   Look for overlapping triggers or unreachable skills.

5b. Existing skill audit

For ALL skills used or touched during this work, check:

1. Were any skills BYPASSED? (did you do something manually that a skill should handle?)
2. Are there skills that OVERLAP with what you just did? (merge candidates)
3. Is shared code copy-pasted between skills? (extract to lib/)

The MECE question: If someone asked for this exact work again tomorrow on a different topic, which skills would they invoke? Is the path clear and unambiguous? If not, fix the routing.

5c. Present the plan

## Skill Graph Changes

### New skills to create
1. **[skill-name]** — [what it does]
   - DRY check: [clean / overlaps with X]
   - Recommendation: [create / merge into X]

### Existing skills to update
1. **[skill-name]** — [what changed, why]

### Code to extract to lib/
1. **lib/[name].ts** — [what it does, which skills use it]

### Skills to merge or deprecate
1. **[skill-A] + [skill-B]** → [merged-skill] — [why]

On approval: invoke /skillify for each new/modified skill.

Phase 6: CHECK_RESOLVABLE — Verify everything routes

After all filing and skillification:

gbrain check-resolvable                         # routing-table reachability
gbrain doctor --json                            # health surface
gbrain search "<topic keywords>"                # brain pages findable
gbrain orphans                                  # any pages without inbound links?

Confirm:

• All brain pages have proper frontmatter against active schema pack
• All entity pages are cross-linked
• Any new skills have routing entries in skills/RESOLVER.md
• No DRY violations (no duplicated logic across skills)
• No MECE violations (no ambiguous routing between skills)
• Active schema pack updated if new content types emerged
• gbrain doctor reports schema_pack_consistency: ok

Phase 7: REPORT — Summary

## EIIRP Complete: [Topic]

### Brain pages created/updated
- [path] — [description]
- ...

### Entity pages
- [path] — [created/updated]
- ...

### Schema changes
- [none / description of changes + which pack delta file]

### Skills identified
- [skill-name] — [status: created / merged / deferred]
- ...

### Resolver status
- DRY check: [clean]
- MECE audit: [clean]
- Active pack: [name] v[version]
- schema_pack_consistency: [ok / warn — pct untyped]

Output Format

EIIRP produces a single Phase 7 report block. Plain markdown:

## EIIRP Complete: [topic]

### Brain pages created/updated
- [path] — [description]

### Entity pages
- [path] — [created|updated]

### Schema changes
- [none | description of changes + which pack delta file]

### Skills identified
- [skill-name] — [status: created|merged|deferred]

### Resolver status
- DRY check: [clean|N violations]
- MECE audit: [clean|N overlaps]
- Active pack: [name] v[version]
- schema_pack_consistency: [ok|warn — N% untyped]

Always machine-readable: stable section headers + bullet-per-item. The report doubles as a sync checkpoint for downstream skills (skillpack-check reads it; doctor cross-references the pack version).

Anti-Patterns

• Hardcoding directory tables in EIIRP's logic. Every filing decision reads gbrain schema show --json. Users on gbrain-recommended AND custom packs MUST get the right behavior automatically. Pinned by D9 from /plan-eng-review.
• Auto-applying low-confidence schema suggestions. Confidence < 0.6 from gbrain schema suggest is "manual review required" per codex finding #9. EIIRP surfaces it; the user accepts.
• Skipping Phase 5 SKILL GRAPH AUDIT because "this was a one-off." If the work took >10 minutes, the methodology is probably reusable. Audit anyway; defer the skillify decision to the user.
• Filing synthesis output by topic alone. Synthesis pages tied to a single source + reader are sui generis; they file under media/<format>/<slug>-personalized.md. See _brain-filing-rules.md "Sanctioned exception" section.
• Treating non-English sources as secondary citations. Multilingual sources are first-class.

Hard Rules

Knowledge domain

• Never leave research only in chat. If it took >10 minutes to produce, it gets a brain page.
• Every source gets a citation. No "according to reports" without a URL.
• Entity pages get updated, not just created. If a brain page exists, UPDATE it.
• Schema changes require confirmation. The active pack is load-bearing.
• Multilingual sources are first-class. Never treat non-English sources as secondary.

Capability domain

• DRY is sacred. If the same logic appears in two skills, extract it to lib/.
• MECE is sacred. Every trigger phrase routes to exactly one skill.
• Composability over monoliths. Small skills that compose > one giant skill that does everything.
• Skillify only what recurs. One-off work doesn't need a skill. Patterns that repeat 2+ times do.

Meta

• EIIRP is idempotent. Running it twice on the same work should produce no changes the second time.
• EIIRP consumes the active schema pack as data. Never hard-code directory tables in EIIRP's logic — read from gbrain schema show --json so users who picked gbrain-recommended OR custom packs get the right behavior automatically.

Changelog

v1.0.0 — gbrain v0.39.0.0

• Initial port from upstream OpenClaw. Genericized — no references to private fork names per CLAUDE.md privacy rules.
• Phase 3 SCHEMA CHECK rewritten to consume the v0.39 cathedral CLI (detect | suggest | review-candidates) instead of a private brain/schema.md.
• Phase 5 SKILL GRAPH AUDIT calls gbrain check-resolvable instead of upstream scripts/skill-dry-check.mjs.
• Phase 6 verification uses gbrain doctor's schema_pack_consistency check (T7) for the persistent surface.

Source: garrytan/gbrain → skills/eiirp/SKILL.md