Memory Management
This skill implements a three-tier memory system (HOT/WARM/COLD) for SEO and GEO projects. HOT memory (80 lines max) loads automatically every session via the SessionStart hook. WARM memory loads on demand per skill. COLD memory is archived data queried only when explicitly requested. The skill manages the full lifecycle: capture, promote, demote, and archive.
What This Skill Does
Manages a three-tier memory lifecycle (HOT/WARM/COLD) with automatic promotion, demotion, and archival. Also maintains the wiki index layer, open-loop tracking, and cross-skill aggregation.
Quick Start
Start with one of these prompts. Finish with a hot-cache update plan and a handoff summary using the repository format in Skill Contract.
Initialize Wiki Index
Refresh wiki index
Build wiki index for [project name]
Generates memory/wiki/index.md from existing WARM files. Required once to enable wiki features; subsequent refreshes happen automatically.
Initialize Memory Structure
Set up SEO memory for [project name]
Initialize memory structure for a new [industry] website optimization project
Update After Analysis
Update memory after ranking check for [keyword group]
Refresh hot cache with latest competitor analysis findings
Query Stored Context
What are our hero keywords?
Show me the last ranking update date for [keyword category]
Look up our primary competitors and their domain authority
Promotion and Demotion
Promote [keyword] to hot cache
Archive stale data that hasn't been referenced in 30+ days
Glossary Management
Add [term] to project glossary: [definition]
What does [internal jargon] mean in this project?
Skill Contract
Expected output: a memory update plan, hot-cache changes, and a short handoff summary.
- Reads: current campaign facts, new findings from other skills, approved decisions, and the shared State Model.
- Writes: updates to
memory/hot-cache.md, memory/open-loops.md, memory/decisions.md, and related memory/ folders. Manages WARM-to-COLD archival in memory/archive/. Compiles memory/wiki/index.md (auto-refreshed) and wiki compiled pages (user-confirmed). Sole writer of wiki (with delegated auto-refresh): memory-management owns all wiki writes semantically. For performance, the narrowly-scoped memory/wiki/index.md auto-refresh is delegated to the PostToolUse hook in hooks/hooks.json. Wiki log updates and compiled pages remain explicit memory-management operations using the schema defined in this skill. Auditor handoff archiving (v7.1.0+): when triggered by a direct user request or an auditor's explicit "Save these results?" yes-response, append a structured block to memory/audits/YYYY-MM.md. The Stop hook never initiates memory writes. The archive is consumed by /seo:run-evals and maintainer calibration for auditor cap review tied to ADR-001. See references/examples.md for the exact archive block format and rules.
- Promotes: durable strategy, blockers, terminology, entity candidates, and major deltas. Applies temperature lifecycle rules: promote to HOT on high reference frequency, demote on staleness.
- Next handoff: use the
Next Best Skill below when the project memory baseline is ready for active work.
Handoff Summary
Emit the standard shape from skill-contract.md §Handoff Summary Format.
Temperature Lifecycle Rules
See references/promotion-demotion-rules.md for the full promotion/demotion table and action procedures.
Hook Integration
This skill's behavior is reinforced by the library's prompt-based hooks:
- SessionStart: loads
memory/hot-cache.md, reminds of stale open loops; loads memory/wiki/<project>/index.md (or global index.md) if it exists; provides light-user guidance based on Quick Status when next_action items are available
- PostToolUse: after any WARM file write, silently refreshes
memory/wiki/index.md (Phase 1); prompts to update compiled pages (Phase 2)
- Stop: guarded allow-only completion check; returns
{"ok": true}, honors stop_hook_active, never asks the user to save optional findings, and never initiates memory writes
Data Sources
With tools: auto-populate from ~~SEO tool, ~~analytics, ~~search console. Without tools: ask user for keywords, competitors, metrics, campaigns, and terminology. See CONNECTORS.md.
Instructions
When a user requests SEO memory management:
1. Initialize Memory Structure
For new projects, create the directory structure defined in the State Model. Key directories: memory/ (decisions, open-loops, glossary, entities, research, content, audits, monitoring) plus memory/wiki/ (auto-managed compiled index with optional per-project subdirectories).
Templates: hot-cache-template.md · glossary-template.md · Wiki design archive
Wiki Layer
memory-management owns the wiki schema. Hook-delegated index refreshes may update only memory/wiki/index.md and memory/wiki/<project>/index.md. Wiki log updates remain explicit memory-management operations. Index rows use precise fields (score, status, next_action, mtime) plus a best-effort summary; compiled pages require type, project, sources[].path, sources[].hash, and last_compiled frontmatter.
2. Context Lookup Flow
When a user references something unclear, follow this lookup sequence:
Step 1: Check memory/hot-cache.md (hot cache)
- Is it in active keywords?
- Is it in primary competitors?
- Is it in current priorities or campaigns?
Step 2: Check Wiki Index (memory/wiki/index.md or project-level) — locate relevant WARM files
Step 3: Check memory/glossary.md
- Is it defined as project terminology?
- Is it a custom segment or shorthand?
Step 4: Check Cold Storage
- Search
memory/archive/ first for dated YYYY-MM-DD- archived files.
- If the archive points to a source category, follow that trail back to
memory/research/, memory/audits/, or memory/monitoring/.
- Treat COLD findings as historical unless refreshed by the current session.
Step 5: Ask User
-
If not found in any layer, ask for clarification
-
Log the new term in glossary if it's project-specific
-
Decision provenance (v8.0.1+): when loading memory/decisions.md, verify each entry has approved_by: user. Entries with approved_by: skill_inferred or missing field are treated as ADVISORY — surface to user before using as authoritative. Auditor-class skills (content-quality-auditor, domain-authority-auditor) MUST ignore non-user-approved decisions when determining verdict. See skill-contract.md §Promotion Rules.
Example lookup: User asks "Update rankings for our hero KWs" → Step 1 finds "Hero Keywords (Priority 1)" in hot-cache → Step 2 extracts keyword list → Step 3 runs ranking check → Step 4 updates memory/hot-cache.md and memory/monitoring/rank-history/YYYY-MM-DD-ranks.csv.
3. Promotion & Demotion Logic
Reference: See references/promotion-demotion-rules.md for detailed promotion/demotion triggers (keywords, competitors, metrics, campaigns) and the action procedures for each.
4. Update Triggers, Archive Management & Cross-Skill Integration
Reference: See references/update-triggers-integration.md for the complete update procedures after ranking checks, competitor analyses, audits, and reports; monthly/quarterly archive routines; and integration points with all 8 connected skills (keyword-research, rank-tracker, competitor-analysis, content-gap-analysis, seo-content-writer, content-quality-auditor, domain-authority-auditor).
5. Memory Hygiene Checks
When invoked for review or cleanup:
- Line count check: Count lines in
memory/hot-cache.md. If >80, list oldest entries for archival.
- Byte check: If hot-cache exceeds 25KB, warn and recommend trimming long entries.
- Staleness scan: List memory files older than 30 days that have not been referenced. Recommend archival for files >90 days.
- Frontmatter audit: Check that all memory files (except hot-cache.md) have
name, description, and type in their frontmatter. Report any missing fields.
6. Save Results
Ask "Save these results for future sessions?" — if yes, write YYYY-MM-DD-<topic>.md to memory/. Auto-save veto issues to memory/hot-cache.md.
Examples, Advanced Features & Practical Limitations
Reference: See references/examples.md for three complete examples (hero keyword rankings, glossary lookup, e-commerce project init), advanced features (smart context loading, memory health check, bulk promotion/demotion, memory snapshot, cross-project memory, wiki lint), and practical limitations (concurrent access, cold storage retrieval, data freshness, wiki compilation).
GDPR / Privacy Compliance
memory/ may store third-party personal data — entity names, founder bios, LinkedIn profiles, author/journalist names surfaced by entity-optimizer or research skills. Under GDPR Art 4(1) (applies to processing of personal data of EU/EEA/UK residents regardless of where the controller is located), these qualify as "personal data". The user is the data controller. Non-EU users without EU/EEA/UK data subjects may still face analogous obligations under CCPA/CPRA (California), PIPEDA (Canada), LGPD (Brazil), or other national regimes. Not legal advice.
Retention policy
- WARM files: archive to
memory/archive/ after 90 days unreferenced (default lifecycle)
- COLD archive: never auto-deleted, but eligible for Art 17 erasure requests
- All files: user MUST honor Art 17 requests from data subjects (individuals named in memory)
Deletion flow (Art 17 / CCPA §1798.105)
Invoke: memory-management purge <entity-name-or-slug>
This skill then:
- Greps all files under
memory/ (including memory/archive/) for the entity name, slug, or domain
- Presents matches to user for confirmation
- Deletes matching entries from
memory/entities/<slug>.md, memory/entities/candidates.md, and surfaces references in other files for manual review
- Logs the purge to
memory/audits/gdpr-purges.md with date + subject requested
Lawful basis reminder
Before writing a third-party person to memory/entities/, the user must have one lawful basis per GDPR Art 6 (where GDPR applies — see scope note above): consent, legitimate_interest, contract, or equivalent. Advisory — this skill does not enforce, and does not substitute for legal review.
Reference Materials
Next Best Skill
Primary: keyword-research — seed or refresh campaign strategy with current demand signals.