Frontmatter parsing
Skill a5c-ai/babysitter/library/methodologies/gsd/skills/frontmatter-parsing
Babysitter enforces obedience on agentic workforces and enables them to manage extremely complex tasks and workflows through deterministic, hallucination-free self-orchestration
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What its author says it does
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YAML frontmatter parsing and manipulation for .planning/ documents. Provides read, write, update, query, and validation operations on frontmatter blocks in GSD markdown artifacts.
SKILL.md
7.0 KB, as published. Nobody here has run it
status: in-progress phase: 72 wave: 1 depends_on: [] files_modified: ["src/auth/oauth.ts", "src/auth/tokens.ts"] created: 2026-03-02 updated: 2026-03-02
Plan content below...
## Capabilities
### 1. Parse Frontmatter
Extract frontmatter from a markdown file into structured data:
```yaml
# Input file: .planning/phase-72/PLAN-1.md
---
status: planned
phase: 72
plan_number: 1
wave: 1
depends_on: []
files_modified:
- src/auth/oauth.ts
- src/auth/tokens.ts
- src/middleware/auth.ts
task_count: 4
created: 2026-03-02
gap_closure: false
---
Parsed result:
{
"status": "planned",
"phase": 72,
"plan_number": 1,
"wave": 1,
"depends_on": [],
"files_modified": ["src/auth/oauth.ts", "src/auth/tokens.ts", "src/middleware/auth.ts"],
"task_count": 4,
"created": "2026-03-02",
"gap_closure": false
}
2. Extract Specific Fields
Read individual fields without parsing the entire frontmatter:
get_field(.planning/phase-72/PLAN-1.md, "wave") -> 1
get_field(.planning/phase-72/PLAN-1.md, "status") -> "planned"
get_field(.planning/phase-72/PLAN-1.md, "files_modified") -> ["src/auth/oauth.ts", ...]
3. Update Fields
Update individual frontmatter fields without modifying body content:
update_field(.planning/phase-72/PLAN-1.md, "status", "executed")
update_field(.planning/phase-72/PLAN-1.md, "wave", 2)
update_field(.planning/phase-72/PLAN-1.md, "updated", "2026-03-02")
Uses Edit tool to surgically replace only the target field line.
4. Add New Fields
Add fields to existing frontmatter:
add_field(.planning/phase-72/PLAN-1.md, "executed_at", "2026-03-02T14:30:00Z")
add_field(.planning/phase-72/PLAN-1.md, "executor_agent", "gsd-executor")
Inserts new field before the closing --- delimiter.
5. Remove Fields
Remove fields from frontmatter:
remove_field(.planning/phase-72/PLAN-1.md, "gap_closure")
6. Query Across Files
Find documents matching frontmatter criteria:
query(directory: ".planning/phase-72/", field: "wave", value: 1)
-> [".planning/phase-72/PLAN-1.md", ".planning/phase-72/PLAN-2.md"]
query(directory: ".planning/", field: "status", value: "planned", recursive: true)
-> [".planning/phase-72/PLAN-1.md", ".planning/phase-73/PLAN-1.md"]
Uses Grep to search for field patterns, then validates matches.
7. Validate Frontmatter
Validate frontmatter against document type schema:
# PLAN.md required fields
required:
- status # planned|executing|executed|verified
- phase # integer or decimal
- plan_number # integer
- wave # integer (execution order group)
- task_count # integer
# PLAN.md optional fields
optional:
- depends_on # array of plan references
- files_modified # array of file paths
- gap_closure # boolean
- created # date
- updated # date
- executed_at # datetime
Document type schemas:
- PLAN.md: status, phase, plan_number, wave, task_count
- SUMMARY.md: phase, status, tasks_completed, commits
- RESEARCH.md: phase, status, approach_count, recommended
- STATE.md: last_updated, session_count, current_milestone
- CONTEXT.md: phase, decisions_count, preferences
8. Batch Operations
Update frontmatter across multiple files:
batch_update(
files: [".planning/phase-72/PLAN-1.md", ".planning/phase-72/PLAN-2.md"],
field: "status",
value: "executed"
)
Tool Use Instructions
Parsing Frontmatter
- Use
Readto load the target file - Extract content between first
---and second--- - Parse YAML content into key-value pairs
- Return structured object
Updating a Field
- Use
Readto load the file - Locate the target field line within frontmatter
- Use
Editwith the exact field line asold_string - Replace with new field value line
- If field is multi-line (arrays), handle properly
Querying Across Files
- Use
Globto find candidate files in the target directory - Use
Grepto search for the field pattern (e.g.,^wave: 1$) - For each match, verify it's within frontmatter (not body content)
- Return list of matching file paths
Validating Frontmatter
- Use
Readto load the file - Parse frontmatter
- Check required fields exist for the document type
- Validate field types (string, integer, array, boolean, date)
- Return validation result with any errors
Process Integration
plan-phase.js- Read/write plan frontmatter (wave, depends_on, files_modified)execute-phase.js- Update plan status as execution progresses, read wave assignments for parallel executionaudit-milestone.js- Query all plans by status for completion checksresearch-phase.js- Write research frontmatter (approach_count, recommended)discuss-phase.js- Read phase metadata from roadmap sections
Output Format
{
"operation": "parse|get|update|add|remove|query|validate|batch",
"status": "success|error",
"file": ".planning/phase-72/PLAN-1.md",
"field": "status",
"previousValue": "planned",
"newValue": "executed",
"frontmatter": {},
"queryResults": [],
"validation": {
"valid": true,
"errors": [],
"warnings": []
}
}
Configuration
| Setting | Default | Description |
|---|---|---|
frontmatterDelimiter | --- | YAML frontmatter delimiter |
strictValidation | false | Fail on unknown fields |
autoUpdateTimestamp | true | Auto-update updated field on writes |
Error Handling
| Error | Cause | Resolution |
|---|---|---|
No frontmatter found | File missing --- delimiters | Add frontmatter block or skip |
YAML parse error | Malformed YAML in frontmatter | Fix YAML syntax (check indentation, colons, quotes) |
Field not found | Requested field not in frontmatter | Return null, optionally add field |
Type mismatch | Field value does not match expected type | Coerce if possible, error if not |
Edit collision | Field line not unique in file | Include surrounding context for uniqueness |
Constraints
- Frontmatter must be valid YAML between
---delimiters at the top of the file - Field updates must not modify body content below the frontmatter
- Array fields must use YAML list syntax (either inline
[a, b]or block- a\n- b) - Date fields must use ISO 8601 format
- Boolean fields must use
true/false(notyes/no) - Query operations are read-only; they never modify files
- Batch operations are atomic per file (each file update succeeds or fails independently)