chore: remove memory skill — duplicates native Claude Code CLAUDE.md and MEMORY.md

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2026-04-02 18:38:29 +00:00
parent cccaf86995
commit 60cdedeec1
3 changed files with 0 additions and 62 deletions

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@@ -89,7 +89,6 @@ archeflow/
│ ├── check-phase/ # Reviewer protocols (all 4) │ ├── check-phase/ # Reviewer protocols (all 4)
│ ├── shadow-detection/ # Recognizing and correcting dysfunction │ ├── shadow-detection/ # Recognizing and correcting dysfunction
│ ├── attention-filters/ # What context each archetype receives │ ├── attention-filters/ # What context each archetype receives
│ ├── memory/ # Persistent learnings across orchestrations
│ ├── autonomous-mode/ # Unattended overnight sessions │ ├── autonomous-mode/ # Unattended overnight sessions
│ ├── custom-archetypes/ # Creating domain-specific roles │ ├── custom-archetypes/ # Creating domain-specific roles
│ └── workflow-design/ # Designing custom workflows │ └── workflow-design/ # Designing custom workflows

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@@ -1,60 +0,0 @@
---
name: memory
description: Use after orchestration to record learnings, and before orchestration to load project-specific context. Persistent knowledge that makes future orchestrations smarter.
---
# Persistent Memory
ArcheFlow learns across orchestrations. After each run, extract what was discovered. Before the next run, load it so agents start smarter.
## What to Record
Store in `.archeflow/memory/project.md`:
```markdown
## Project Context
- Language: TypeScript, strict mode
- Package manager: pnpm
- Test runner: vitest
- CI: GitHub Actions (no DB access in CI)
## Risk Map
- auth/ — well-tested (95% coverage), normal risk
- payment/ — no tests, elevated risk, Guardian should be thorough
- legacy/api-v1/ — deprecated, do not modify
## Model Notes
- Type-heavy modules need Sonnet minimum (Haiku produced incomplete types)
- Standard CRUD reviews work fine with Haiku
## Shadow History
- Explorer rabbit-holed in monorepo (cycle 1 of orchestration on 2026-03-28)
→ added 10-file cap to Explorer prompt for this project
```
## What NOT to Record
- Anything derivable from code or git history
- Temporary state from current orchestration
- Opinions or predictions
- Anything that changes every week
## When to Read
Before orchestration, check if `.archeflow/memory/project.md` exists. If it does, inject relevant sections into agent prompts:
- Explorer gets: Project Context
- Guardian gets: Risk Map
- Maker gets: Project Context
- All agents get: Model Notes (for self-calibration)
## When to Write
After orchestration completes, update memory if anything new was learned:
- New project conventions discovered by Explorer
- Risk areas identified by Guardian
- Model tier adjustments needed (Haiku insufficient, or Opus unnecessary)
- Shadow patterns that recurred
Update existing entries — don't append endlessly. Memory should be a current snapshot, not a changelog.

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@@ -47,6 +47,5 @@ Act → All approved? Merge. Issues? Cycle back to Plan.
- **archeflow:plan-phase** / **do-phase** / **check-phase** — Phase protocols - **archeflow:plan-phase** / **do-phase** / **check-phase** — Phase protocols
- **archeflow:shadow-detection** — Recognizing dysfunction - **archeflow:shadow-detection** — Recognizing dysfunction
- **archeflow:attention-filters** — What context each archetype receives - **archeflow:attention-filters** — What context each archetype receives
- **archeflow:memory** — Persistent learnings across orchestrations
- **archeflow:autonomous-mode** — Unattended sessions - **archeflow:autonomous-mode** — Unattended sessions
- **archeflow:custom-archetypes** / **workflow-design** — Extending ArcheFlow - **archeflow:custom-archetypes** / **workflow-design** — Extending ArcheFlow