state-management
Pipeline state management for tracking gate progress, prerequisites, and results. Used by all gate agents to coordinate pipeline execution.
What this skill does
# State Management Skill
Scripts for reading and writing pipeline state, checking prerequisites, and initializing pipelines.
## Scripts
### init_pipeline.py
Initialize a new pipeline run.
```bash
python .claude/skills/state-management/scripts/init_pipeline.py [--target-package NAME] [--target-version VERSION]
```
Creates a new pipeline_state.json with fresh UUID and timestamps.
### read_state.py
Get current pipeline state.
```bash
python .claude/skills/state-management/scripts/read_state.py [--gate GATE_NAME] [--format json|summary]
```
Options:
- `--gate`: Get status of specific gate only
- `--format`: Output format (default: json)
### write_state.py
Update gate status after execution.
```bash
python .claude/skills/state-management/scripts/write_state.py <gate> <PASS|FAIL> [--details JSON]
```
Arguments:
- `gate`: Gate name (e.g., lint-test, coverage)
- `status`: PASS or FAIL
- `--details`: JSON string with gate-specific details
### check_prerequisites.py
Verify prerequisites for a gate.
```bash
python .claude/skills/state-management/scripts/check_prerequisites.py <gate>
```
Returns:
- Exit code 0: Prerequisites met, gate can run
- Exit code 1: Prerequisites NOT met, lists blocking gates
## State File Location
`state/pipeline_state.json`
## State Schema
```json
{
"pipeline_id": "uuid-string",
"started_at": "2024-01-15T10:30:00Z",
"current_gate": "coverage",
"target_package": "my-package",
"target_version": "1.2.0",
"gates": {
"lint-test": {
"status": "PASS|FAIL|PENDING|RUNNING",
"started_at": "ISO8601",
"completed_at": "ISO8601",
"duration_seconds": 45.2,
"details": {
"lint_errors": 0,
"type_errors": 0,
"tests_passed": 142,
"tests_failed": 0
}
}
}
}
```
## Gate Prerequisites
| Gate | Required Prerequisites |
|------|----------------------|
| lint-test | None |
| coverage | lint-test PASS |
| cross-platform | lint-test, coverage PASS |
| python-matrix | lint-test, coverage, cross-platform PASS |
| security | lint-test, coverage, cross-platform, python-matrix PASS |
| api-compat | lint-test, coverage, cross-platform, python-matrix, security PASS |
| packaging | lint-test, coverage, cross-platform, python-matrix, security, api-compat PASS |
| github-pr | ALL gates (1-7) PASS |
## Usage Examples
### Starting a new pipeline
```bash
# Initialize
python .claude/skills/state-management/scripts/init_pipeline.py --target-package mylib --target-version 1.0.0
# Check status
python .claude/skills/state-management/scripts/read_state.py
```
### Running a gate
```bash
# Check if gate can run
python .claude/skills/state-management/scripts/check_prerequisites.py coverage
if [ $? -eq 0 ]; then
# Run the gate...
python .claude/skills/state-management/scripts/write_state.py coverage PASS --details '{"total_coverage": 87.3}'
fi
```
### Getting summary
```bash
python .claude/skills/state-management/scripts/read_state.py --format summary
```
Output:
```
Pipeline: abc123
Started: 2024-01-15 10:30:00
Gates:
1. lint-test: PASS (45s)
2. coverage: PASS (32s)
3. cross-platform: RUNNING
4. python-matrix: PENDING
5. security: PENDING
6. api-compat: PENDING
7. packaging: PENDING
8. github-pr: PENDING
```
Related in Data & Analytics
clawarr-suite
IncludedComprehensive management for self-hosted media stacks (Sonarr, Radarr, Lidarr, Readarr, Prowlarr, Bazarr, Overseerr, Plex, Tautulli, SABnzbd, Recyclarr, Unpackerr, Notifiarr, Maintainerr, Kometa, FlareSolverr). Deep library exploration, analytics, dashboard generation, content management, request handling, subtitle management, indexer control, download monitoring, quality profile sync, library cleanup automation, notification routing, collection/overlay management, and media tracker integration (Trakt, Letterboxd, Simkl).
querying-soql
IncludedSOQL query generation, optimization, and analysis with 100-point scoring. Use this skill when the user needs SOQL/SOSL authoring or optimization: natural-language-to-query generation, relationship queries, aggregates, query-plan analysis, and performance or safety improvements for Salesforce queries. TRIGGER when: user writes, optimizes, or debugs SOQL/SOSL queries, touches .soql files, or asks about relationship queries, aggregates, or query performance. DO NOT TRIGGER when: bulk data operations (use handling-sf-data), Apex DML logic (use generating-apex), or report/dashboard queries.
app-store-optimization
IncludedApp Store Optimization (ASO) toolkit for researching keywords, analyzing competitor rankings, generating metadata suggestions, and improving app visibility on Apple App Store and Google Play Store. Use when the user asks about ASO, app store rankings, app metadata, app titles and descriptions, app store listings, app visibility, or mobile app marketing on iOS or Android. Supports keyword research and scoring, competitor keyword analysis, metadata optimization, A/B test planning, launch checklists, and tracking ranking changes.
habit-flow
IncludedAI-powered atomic habit tracker with natural language logging, streak tracking, smart reminders, and coaching. Use for creating habits, logging completions naturally ("I meditated today"), viewing progress, and getting personalized coaching.
app-store-optimization
IncludedApp Store Optimization (ASO) toolkit for researching keywords, analyzing competitor rankings, generating metadata suggestions, and improving app visibility on Apple App Store and Google Play Store. Use when the user asks about ASO, app store rankings, app metadata, app titles and descriptions, app store listings, app visibility, or mobile app marketing on iOS or Android. Supports keyword research and scoring, competitor keyword analysis, metadata optimization, A/B test planning, launch checklists, and tracking ranking changes.
visualizing-data
IncludedBuilds dashboards, reports, and data-driven interfaces requiring charts, graphs, or visual analytics. Provides systematic framework for selecting appropriate visualizations based on data characteristics and analytical purpose. Includes 24+ visualization types organized by purpose (trends, comparisons, distributions, relationships, flows, hierarchies, geospatial), accessibility patterns (WCAG 2.1 AA compliance), colorblind-safe palettes, and performance optimization strategies. Use when creating visualizations, choosing chart types, displaying data graphically, or designing data interfaces.