Run
Skill azadmotala/claude-code-team-builder/examples/saas-dashboard/.claude/skills/run
A claude code skill that generates a complete AI development team — agents, skills, routing rules, and project context — for any software project.
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Autonomous execution loop for TenantFlow. Plans tasks, assigns agents, validates results, self-heals on failure. Use `/run --plan` to generate a plan without executing. Use `/run` to start or resume execution.
SKILL.md
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Run
Autonomous execution loop for TenantFlow.
Usage
/run --plan— decompose project into milestones and tasks, show the plan, don't execute/run— start or resume execution from current state/run --task m1-t3— execute a single specific task/run --milestone m2— execute all tasks in milestone 2
Execution Loop
0. Reconcile State (always first)
- Read
.claude/workspace/orchestrator_state.jsonif it exists - Read
.claude/tasks.json - Scan
.claude/workspace/for result files - If a task is marked
donein tasks.json but has no result file → mark asreview - If a result file exists but tasks.json shows
pending→ validate and markdoneif criteria pass - Write reconciled state to
orchestrator_state.json
1. Generate dashboard
- Copy dashboard template to
.claude/workspace/dashboard.html
2. Pick next ready task
- Find the highest-priority task with status
pendingand all dependencies in statusdone
3. Assign to agent
- Use CLAUDE.md agent routing to select the correct agent
4. Validate result
- Read the agent's result file from
.claude/workspace/[task-id].result.md - Check each acceptance criterion — pass or fail
- If all pass → mark task
done, log toprogress.log - If any fail → enter self-healing pipeline
5. Self-healing pipeline (on failure)
- Simple failure → retry once with hint
- Structural failure → invoke problem-solver
- Problem-solver pipeline: refine → split → reassign → escalate
6. Milestone boundary
- Auto-advance if
auto_advance_milestonesis true and all tasks pass
7. Completion check
- Check project completion criteria from CLAUDE.md