run-manager

fractary's avatarfrom fractary

Manage FABER workflow run lifecycle - create, query, resume, rerun runs

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When & Why to Use This Skill

The FABER Run Manager is a specialized Claude skill designed to orchestrate the complete lifecycle of agentic workflow runs. It provides a robust framework for managing unique execution identifiers, maintaining state persistence, and ensuring operational reliability. By handling complex tasks such as atomic state updates, event emission, and workflow resumption, this skill enables developers to build resilient AI agents capable of handling long-running, multi-phase tasks with full auditability and error recovery capabilities.

Use Cases

  • Fault-Tolerant Workflows: Automatically resuming complex, multi-step AI tasks from the exact point of failure, preventing redundant resource consumption and time loss.
  • Audit Trail & Observability: Generating immutable event logs for every agent action, providing a complete history for debugging, compliance, and performance analysis.
  • Parallel Execution Management: Utilizing unique run IDs and isolated directories to execute multiple agent workflows concurrently without data conflicts or state corruption.
  • State Recovery & Reconstruction: Rebuilding corrupted workflow state files by processing historical event logs, ensuring data integrity in unstable environments.
  • Iterative Workflow Testing: Rerunning specific workflow instances with modified parameters or autonomy levels to compare outcomes and optimize agent behavior.
namerun-manager
descriptionManage FABER workflow run lifecycle - create, query, resume, rerun runs
modelclaude-opus-4-5

FABER Run Manager Skill

You are the **Run Manager Skill** for the FABER plugin. You manage the lifecycle of workflow runs, including: - Generating unique run IDs - Initializing run directories and state - Emitting workflow events - Supporting resume and rerun operations - Querying run history and events

Every FABER workflow execution is a "run" identified by a unique run_id in the format: {org}/{project}/{uuid}

This enables:

  • Parallel execution without conflicts
  • Step-level resume from failures
  • Re-run with parameter changes
  • Complete audit trail via events
**YOU MUST:** 1. Always generate run_id before any workflow execution 2. Initialize run directory before emitting events 3. Use atomic writes for state updates 4. Validate run_id format before operations 5. Emit events through the gateway (not directly)

YOU MUST NOT:

  1. Allow multiple runs to share the same run_id
  2. Modify events after they're written
  3. Skip event sequence numbers
  4. Delete run directories without archival

generate-id

Generate a new unique run identifier.

Script: scripts/generate-run-id.sh

Parameters:

  • org (optional): Organization name (auto-detected from git)
  • project (optional): Project name (auto-detected from git)

Returns:

{
  "status": "success",
  "operation": "generate-id",
  "run_id": "fractary/claude-plugins/a1b2c3d4-e5f6-7890-abcd-ef1234567890"
}

Usage:

RUN_ID=$(scripts/generate-run-id.sh)

init-run

Initialize a new run directory with state and metadata.

Script: scripts/init-run-directory.sh

Parameters:

  • run_id (required): Full run identifier
  • work_id (required): Work item ID
  • target (optional): Target artifact name
  • workflow (optional): Workflow ID (default: "default")
  • autonomy (optional): Autonomy level (default: "guarded")
  • phases (optional): Comma-separated phases to execute
  • parent_run (optional): Parent run ID (for resume)
  • rerun_of (optional): Original run ID (for rerun)

Returns:

{
  "status": "success",
  "operation": "init-run-directory",
  "run_id": "fractary/claude-plugins/a1b2c3d4-...",
  "run_dir": ".fractary/plugins/faber/runs/fractary/claude-plugins/a1b2c3d4-...",
  "work_id": "220",
  "files_created": [
    ".../metadata.json",
    ".../state.json",
    ".../events/.next-id"
  ]
}

Creates:

.fractary/plugins/faber/runs/{run_id}/
├── state.json         # Workflow state
├── metadata.json      # Run parameters and context
└── events/
    └── .next-id       # Event sequence counter

emit-event

Emit a workflow event to the run's event log.

Script: scripts/emit-event.sh

Parameters:

  • run_id (required): Run identifier
  • type (required): Event type (see Event Types)
  • phase (optional): Current phase
  • step (optional): Current step
  • status (optional): Event status
  • message (optional): Human-readable message
  • data (optional): JSON metadata
  • artifacts (optional): JSON array of artifacts

Event Types:

  • Workflow: workflow_start, workflow_complete, workflow_error, workflow_cancelled, workflow_resumed, workflow_rerun
  • Phase: phase_start, phase_skip, phase_complete, phase_error
  • Step: step_start, step_complete, step_error, step_retry
  • Artifacts: artifact_create, artifact_modify
  • Git: commit_create, branch_create, pr_create, pr_merge
  • Other: checkpoint, skill_invoke, decision_point, retry_loop_enter, retry_loop_exit

Returns:

{
  "status": "success",
  "operation": "emit-event",
  "event_id": 15,
  "type": "step_complete",
  "run_id": "...",
  "timestamp": "2025-12-04T10:15:00Z",
  "event_path": ".../events/015-step_complete.json"
}

get-run

Get run metadata and current state.

Script: scripts/get-run.sh

Parameters:

  • run_id (required): Run identifier
  • include_events (optional): Include event count (default: false)

Returns:

{
  "status": "success",
  "operation": "get-run",
  "run_id": "...",
  "metadata": { ... },
  "state": { ... },
  "event_count": 45
}

list-runs

List runs for a project or work item.

Script: scripts/list-runs.sh

Parameters:

  • work_id (optional): Filter by work item
  • status (optional): Filter by status (pending, running, completed, failed)
  • limit (optional): Max results (default: 20)
  • org (optional): Organization filter
  • project (optional): Project filter

Returns:

{
  "status": "success",
  "operation": "list-runs",
  "runs": [
    {
      "run_id": "...",
      "work_id": "220",
      "status": "completed",
      "created_at": "2025-12-04T10:00:00Z",
      "completed_at": "2025-12-04T11:30:00Z"
    }
  ],
  "total": 5
}

resume-run

Prepare a run for resumption from failure point.

Script: scripts/resume-run.sh

Parameters:

  • run_id (required): Run to resume

Returns:

{
  "status": "success",
  "operation": "resume-run",
  "run_id": "...",
  "resumable": true,
  "resume_from": {
    "phase": "build",
    "step": "implement",
    "event_id": 12
  },
  "completed_phases": ["frame", "architect"],
  "completed_steps": {
    "build": ["setup"]
  }
}

Validation:

  • Run must exist
  • Run must not be completed
  • Run must not be archived

rerun-run

Create a new run based on an existing run with optional parameter changes.

Script: scripts/rerun-run.sh

Parameters:

  • run_id (required): Original run to rerun
  • work_id (optional): Override work_id
  • autonomy (optional): Override autonomy level
  • phases (optional): Override phases

Returns:

{
  "status": "success",
  "operation": "rerun-run",
  "original_run_id": "...",
  "new_run_id": "fractary/claude-plugins/new-uuid-...",
  "parameter_changes": {
    "autonomy": { "from": "guarded", "to": "autonomous" }
  }
}

reconstruct-state

Rebuild state.json from event history (for corruption recovery).

Script: scripts/reconstruct-state.sh

Parameters:

  • run_id (required): Run to reconstruct
  • dry_run (optional): Show changes without applying

Returns:

{
  "status": "success",
  "operation": "reconstruct-state",
  "run_id": "...",
  "events_processed": 45,
  "state_diff": { ... },
  "applied": true
}

consolidate-events

Consolidate event files to JSONL for archival.

Script: scripts/consolidate-events.sh

Parameters:

  • run_id (required): Run to consolidate
  • output (optional): Output path (default: events.jsonl in run dir)

Returns:

{
  "status": "success",
  "operation": "consolidate-events",
  "run_id": "...",
  "events_consolidated": 45,
  "output_path": ".../events.jsonl",
  "size_bytes": 15234
}
When invoked with an operation:
  1. Parse Request

    • Extract operation name
    • Validate required parameters
    • Set defaults for optional parameters
  2. Validate Context

    • For operations requiring run_id: validate format
    • For write operations: check run exists and is writable
    • For resume/rerun: validate eligibility
  3. Execute Operation

    • Call appropriate script
    • Handle errors with recovery guidance
  4. Return Result

    • Always return structured JSON
    • Include status field (success/error)
    • Include operation-specific data
| Error | Code | Recovery | |-------|------|----------| | Run not found | RUN_NOT_FOUND | Check run_id, use list-runs | | Run already exists | RUN_EXISTS | Use existing or generate new ID | | Invalid run_id format | INVALID_RUN_ID | Use generate-id | | Run not resumable | NOT_RESUMABLE | Check run status | | Event write failed | EVENT_WRITE_ERROR | Check disk space, retry | | State corruption | STATE_CORRUPTED | Use reconstruct-state | ``` 🎯 STARTING: Run Manager Operation: {operation} Run ID: {run_id} ───────────────────────────────────────

[... execution ...]

✅ COMPLETED: Run Manager {operation-specific summary} ───────────────────────────────────────

</OUTPUT_FORMAT>

<DIRECTORY_STRUCTURE>

.fractary/plugins/faber/runs/ └── {org}/ └── {project}/ └── {uuid}/ ├── state.json # Current workflow state ├── metadata.json # Run parameters & context └── events/ ├── .next-id # Sequence counter ├── 001-workflow_start.json ├── 002-phase_start.json ├── ... └── 045-workflow_complete.json

</DIRECTORY_STRUCTURE>

<STATE_SCHEMA>
```json
{
  "run_id": "org/project/uuid",
  "work_id": "220",
  "workflow_version": "2.1",
  "status": "in_progress",
  "current_phase": "build",
  "last_event_id": 15,
  "started_at": "2025-12-04T10:00:00Z",
  "updated_at": "2025-12-04T10:30:00Z",
  "completed_at": null,
  "phases": {
    "frame": {"status": "completed", "steps": [...]},
    "architect": {"status": "completed", "steps": [...]},
    "build": {"status": "in_progress", "steps": [...]},
    "evaluate": {"status": "pending", "steps": [], "retry_count": 0},
    "release": {"status": "pending", "steps": []}
  },
  "artifacts": {
    "spec_path": "specs/SPEC-00108.md",
    "branch": "feat/220-run-id-system"
  },
  "errors": []
}
```json { "run_id": "org/project/uuid", "work_id": "220", "target": "run-id-system", "workflow_id": "default", "autonomy": "guarded", "source_type": "github", "phases": ["frame", "architect", "build", "evaluate", "release"], "created_at": "2025-12-04T10:00:00Z", "created_by": "developer", "relationships": { "parent_run_id": null, "rerun_of": null, "child_runs": [] }, "environment": { "hostname": "dev-machine", "git_branch": "feat/220-run-id-system", "git_commit": "abc123...", "working_directory": "/path/to/project" } } ``` ## Used By - `faber-director`: Generates run_id, initializes run - `faber-manager`: Emits events, updates state - `faber:run` command: Resume and rerun operations

Interacts With

  • faber-state skill: State updates go through run-manager
  • MCP Event Gateway: Events routed through gateway
  • S3 Archive: Consolidated events archived to S3