Agent skill
memory-alignment-check
After QA PASS, compare the Story's implementation footprint against relevant memory entries. Reports confirmed entries, contradictions, and new knowledge candidates. Never writes to memory — produces a delta report for Discovery to action.
Install this agent skill to your Project
npx add-skill https://github.com/Fr-e-d/GAAI-framework/tree/main/.gaai/core/skills/cross/memory-alignment-check
Metadata
Additional technical details for this skill
- id
- SKILL-MEMORY-ALIGNMENT-CHECK-001
- track
- cross-cutting
- author
- gaai-framework
- status
- stable
- version
- 1.0
- category
- cross
- updated at
- 1772064000
SKILL.md
Memory Alignment Check
Purpose / When to Activate
Activate after QA verdict is PASS — never before (avoids analysis on code that will change).
This skill checks that long-term memory (decisions, patterns, project context) remains accurate after a Story is delivered. It compares only the Story's implementation footprint against relevant memory entries — not the full codebase.
The codebase is the source of truth for implementation. Memory is the source of truth for decisions and patterns. This skill checks that both remain consistent after each delivery.
This skill reports. It never writes to memory.
Process
1. Extract Implementation Footprint
From {id}.impl-report.md:
- Files modified or created
- New modules or services introduced
- Patterns applied during implementation
- Technical decisions made during implementation
- New integrations or external dependencies introduced
2. Retrieve Relevant Memory (Selective)
Using contexts/memory/index.md:
- Identify memory entries whose tags intersect the Story's scope and touched modules
- Load only those entries — do not load all memory
- Scope: project context, patterns, decisions relevant to the implementation footprint
3. Compare Footprint Against Memory
For each relevant memory entry, assign one verdict:
-
CONFIRMED — implementation is consistent with what memory states → Record entry ID, suggest
last_verified_atupdate to today,verified_against_storyto Story ID -
CONTRADICTED — implementation contradicts or obsoletes what memory states → Record exact contradiction, affected memory entry ID, severity (high / medium / low)
-
UNADDRESSED — memory entry is not touched by this Story → Skip — no verdict needed
4. Identify New Knowledge Not Yet in Memory
From the implementation footprint, extract candidates not present in memory:
- New patterns introduced not in
contexts/memory/patterns/ - New architectural or technical decisions not in
contexts/memory/decisions/ - New constraints or conventions applied for the first time
These are ingestion candidates — flagged for Discovery to validate and ingest.
Outputs
Written to: contexts/artefacts/memory-deltas/{id}.memory-delta.md
---
skill: memory-alignment-check
story_id: E01S01
generated_at: YYYY-MM-DD
verdict: ALIGNED | DRIFT_DETECTED | NEW_KNOWLEDGE_FOUND | DRIFT_AND_NEW_KNOWLEDGE
---
## Confirmed Entries
- memory_id: PATTERNS-001
status: CONFIRMED
suggested_last_verified_at: YYYY-MM-DD
suggested_verified_against_story: E01S01
note: Implementation of X is consistent with stated convention.
## Contradicted Entries
- memory_id: DEC-{N}
status: CONTRADICTED
severity: high | medium | low
description: Memory states [X]. Implementation did [Y]. These are incompatible.
action_required: Update or invalidate memory entry.
## New Knowledge Candidates
- candidate_id: CANDIDATE-001
category: patterns | decisions | project
description: New retry pattern introduced in services/api/client.ts — not yet in memory.
suggested_tags: [api, resilience, patterns]
ingestion_priority: high | medium | low
Verdict Logic
| Verdict | Condition |
|---|---|
ALIGNED |
No contradictions, no new knowledge candidates |
DRIFT_DETECTED |
One or more memory entries contradicted by the implementation |
NEW_KNOWLEDGE_FOUND |
New knowledge candidates identified, no contradictions |
DRIFT_AND_NEW_KNOWLEDGE |
Both contradictions and new knowledge candidates present |
Quality Checks
- Only memory entries intersecting the Story scope are loaded — never full memory
- Confirmed entries include specific evidence from impl-report (not assertions)
- Contradictions describe the exact mismatch — no vague statements
- New knowledge candidates are concrete and grounded in impl-report — not speculative
- No memory is written — this skill produces a report only
Non-Goals
This skill must NOT:
- Write or update any memory file
- Trigger
memory-ingestdirectly (only Discovery may do so) - Scan the full codebase
- Analyse code outside the Story's implementation footprint
- Make product or architectural decisions
- Block or modify the QA verdict
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
ci-watch-and-fix
Watch GitHub Actions CI after PR creation, detect failures, extract logs, apply minimal fixes, and re-push — keeping the delivery session alive until CI resolves or escalating after 3 cycles. Activate immediately after gh pr create and before marking the story done.
qa-review
Validate that implemented code fully satisfies Story acceptance criteria, respects rules, and introduces no regressions. This is the hard quality gate — no pass means no delivery. Activate after implementation is complete.
compose-team
Assemble the context bundles for each sub-agent based on evaluate-story output. Produces spawn-ready packages for Planning, Implementation, QA, or MicroDelivery sub-agents. Activate after evaluate-story, before spawning any sub-agent.
coordinate-handoffs
Validate sub-agent handoff artefacts, sequence phase transitions, and manage retry and escalation logic. Activate after each sub-agent terminates to determine next action.
implement
Generate correct, minimal, maintainable code that satisfies a validated Story's acceptance criteria against an execution plan. Activate when a Story is validated, a plan exists, and all prerequisites are unambiguous.
delivery-high-level-plan
Transform validated Stories into a clear, minimal, governed execution plan. Used by the Planning Sub-Agent as the first planning pass before prepare-execution-plan for Tier 2/3, or as the sole planning output for simple Stories.
Didn't find tool you were looking for?