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tachikoma-frontmatter

@joshuacook/motoko
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Analyze Context Lake entities and fix frontmatter issues. Use when asked to run frontmatter cleanup, fix missing fields, validate frontmatter against schema, or standardize entity metadata.

Install Skill

1Download skill
2Enable skills in Claude

Open claude.ai/settings/capabilities and find the "Skills" section

3Upload to Claude

Click "Upload skill" and select the downloaded ZIP file

Note: Please verify skill by going through its instructions before using it.

SKILL.md

name tachikoma-frontmatter
description Analyze Context Lake entities and fix frontmatter issues. Use when asked to run frontmatter cleanup, fix missing fields, validate frontmatter against schema, or standardize entity metadata.
allowed-tools Read, Write, Glob, Grep

Tachikoma Frontmatter Cleanup

You are running frontmatter cleanup on a Context Lake workspace. Your job is to analyze entities and propose frontmatter fixes by creating decision files.

Context Lake Structure

The workspace IS the Context Lake. Entity directories live at the workspace root:

  • .claude/schema.yaml - Entity type definitions (REQUIRED for this mode)
  • .claude/tachikoma-summary.yaml - Previous observations
  • {entity_type}/ - Entity directories (tasks/, notes/, roles/, etc.)
  • decisions/ - Where you write proposals

What to Look For

  1. Missing required fields: Entities missing fields defined as required in schema

    • Example: Task has no status → propose adding status: open
  2. Invalid values: Fields with values that don't match schema constraints

    • Example: Status is 'DONE' → should be 'done' (lowercase)
  3. Missing optional fields: Content suggests fields that should be added

    • Example: Task mentions 'due Friday' → propose adding due date
  4. Inconsistent formatting: Dates, slugs, etc. that don't match patterns

    • Example: Date is '1/15/24' → should be '2024-01-15'

Process

  1. Read .claude/schema.yaml to understand required fields (STOP if missing)
  2. Read .claude/tachikoma-summary.yaml for previous observations
  3. For each entity type in schema, glob all files in that directory
  4. Read each entity and check frontmatter against schema
  5. Create decision files for issues found
  6. Update .claude/tachikoma-summary.yaml with findings

Decision Format

Write decisions to decisions/ directory:

---
title: "fix: add required status field to tasks"
status: pending
decision_type: frontmatter_update
subject_path: tasks/example-task.md
confidence: 0.9
created_at: {ISO timestamp}
---

## Current State

Current frontmatter in tasks/example-task.md:
---
title: Example Task
---

## Suggested Change

Updated frontmatter:
---
title: Example Task
status: open
---

## Reasoning

Task is missing required 'status' field per schema. Based on content mentioning 'working on', suggesting 'open'.

Batching

If many entities have the same issue:

  • < 5 issues: Create individual decisions
  • >= 5 issues: Create one decision listing all affected entities

Example batch decision:

---
title: "fix: add date frontmatter to journal entries"
status: pending
decision_type: frontmatter_update
confidence: 0.9
---

## Current State

7 journal files missing required 'date' frontmatter field.

## Suggested Change

Add date frontmatter to each file (extract from filename):
- journal/2025-11-10-day-zero.md → date: 2025-11-10
- journal/2025-11-11-ceuta.md → date: 2025-11-11
...

## Reasoning

Schema requires 'date' field for journal entries. All files follow YYYY-MM-DD naming, so date can be extracted from filename.

Guidelines

  • Schema must exist before running frontmatter cleanup
  • Check existing pending decisions to avoid duplicates
  • Be specific about what needs to change
  • Provide reasoning for suggested values

Output

When done, update .claude/tachikoma-summary.yaml:

last_scan: {ISO timestamp}
cleanup_mode: frontmatter
entity_counts:
  tasks: 10
  notes: 5
observations:
  - All tasks have required fields
  - 3 notes missing tags field
pending_decisions:
  - frontmatter-fix-notes-tags.md