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learning-aggregator

[Beta] Cross-session analysis of accumulated .learnings/ files. Reads all entries, groups by pattern_key, computes recurrence across sessions, and outputs ranked promotion candidates. This is the outer loop's inspect step — it turns raw learning data into actionable gap reports. Use on a regular cadence (weekly, before major tasks, or at session start for critical projects). Can be invoked manually or scheduled.

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ProjectZeroDays/FreeAI_AI_Inference_Workstation스타 5(GitHub 5 + cccskills 0)

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  • SKILL.md3.0 KB

SKILL.md(원문)

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Learning Aggregator

Reads accumulated .learnings/ files across all sessions, finds patterns, and produces a ranked list of promotion candidates. This is the outer loop's inspect step.

When to Use

  • Weekly cadence — scheduled or manual review
  • Before major tasks — check for known patterns
  • After a burst of sessions — consolidate findings
  • When Recurrence-Count reaches >= 3 — verify with full context

What It Produces

A gap report — ranked patterns that have crossed (or are approaching) the promotion threshold.

Step 1: Read All Learning Files

FileContains
LEARNINGS.mdCorrections, knowledge gaps, best practices
ERRORS.mdCommand failures, API errors
FEATURE_REQUESTS.mdMissing capabilities
HEALS.mdVerified runtime recoveries

Step 2: Group and Aggregate

Group entries by Pattern-Key. For each group:

  1. Sum recurrences across all entries
  2. Count distinct tasks
  3. Compute time window
  4. Collect all related files
  5. Take highest priority
  6. Collect evidence

Step 3: Rank and Classify

Promotion Threshold

An entry is promotion-ready when:

  • Recurrence-Count >= 3
  • Seen in >= 2 distinct tasks
  • Within a 30-day window

Approaching Threshold

  • Recurrence-Count >= 2 OR
  • Priority: high/critical with any recurrence

Gap Types

Gap TypeSignalFix Target
Knowledge gapAgent didn't know XUpdate CLAUDE.md, AGENTS.md
Tool gapAgent improvisedAdd MCP tool/script
Skill gapSame pattern failingCreate/update skill
AmbiguityConflicting interpretationsTighten instructions
Reasoning failureHad knowledge but reasoned wrongAdd decision rules

Step 4: Produce Gap Report

## Learning Aggregator: Gap Report

**Scan date:** YYYY-MM-DD
**Entries scanned:** N
**Patterns found:** N
**Promotion-ready:** N

### Promotion-Ready Patterns
#### 1. [Pattern-Key] — [Summary]
- **Recurrence:** N times across M tasks
- **Priority:** high
- **Gap type:** knowledge gap
- **Recommended action:** Add rule to CLAUDE.md/AGENTS.md

Step 5: Handoff

The gap report feeds into:

  1. harness-updater — applies promotions to project files
  2. eval-creator — creates permanent test cases
  3. Human review — for ambiguity/reasoning failures

What This Skill Does NOT Do

  • Does not modify .learnings/ files (read-only)
  • Does not apply promotions (that's harness-updater)
  • Does not create evals (that's eval-creator)
  • Does not fix code or run tests

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