Automate a small dev workflow inside the platform: main agent parses requirements, creates two persistent subagents (coding + testing), coordinates work and retries until tests pass, then makes a local git commit and writes artifacts to results/.
When to use
Use when you want an end-to-end implement+test loop for a small feature or task and want persistent worker sessions for iterative work.
Core behavior (summary)
Main agent parses the requirement and splits into a coding task and a testing task.
Spawn two persistent subagents (role=coding and role=testing) with isolated contexts (128k). Subagent sessions are kept for a configurable TTL (default 24h).
Coding subagent implements code, produces patches and a short report.
Testing subagent designs and runs tests; if tests fail it returns structured failures to main agent.
Main agent reroutes failures to the coding subagent and repeats until tests pass or max retries reached.
On success: produce results//, create a local git commit (no push by default).
Configurable parameters
default_ttl_days: 1
max_retries: 10
auto_git_commit: true (local only)
results_path: ./results/
Bundled resources
scripts/ — orchestrator and helper scripts
examples/ — a minimal sample workflow for smoke tests
How to trigger
Natural language like: "Run workflow: implement "
Or explicit: run workflow-runner: <spec>
Notes
The skill favors local, auditable actions (commits are local). It logs all artifacts to results/ and keeps subagent sessions available for reuse.
1---2name: case-017673description: workflow-runner4---56# workflow-runner78Purpose910- Automate a small dev workflow inside the platform: main agent parses requirements, creates two persistent subagents (coding + testing), coordinates work and retries until tests pass, then makes a local git commit and writes artifacts to results/.1112When to use1314- Use when you want an end-to-end implement+test loop for a small feature or task and want persistent worker sessions for iterative work.1516Core behavior (summary)17181. Main agent parses the requirement and splits into a coding task and a testing task.192. Spawn two persistent subagents (role=coding and role=testing) with isolated contexts (128k). Subagent sessions are kept for a configurable TTL (default 24h).203. Coding subagent implements code, produces patches and a short report.214. Testing subagent designs and runs tests; if tests fail it returns structured failures to main agent.225. Main agent reroutes failures to the coding subagent and repeats until tests pass or max retries reached.236. On success: produce results/<wf-id>/, create a local git commit (no push by default).2425Configurable parameters2627- default_ttl_days: 128- max_retries: 1029- auto_git_commit: true (local only)30- results_path: ./results/3132Bundled resources3334- scripts/ — orchestrator and helper scripts35- examples/ — a minimal sample workflow for smoke tests3637How to trigger3839- Natural language like: "Run workflow: implement <short spec>"40- Or explicit: `run workflow-runner: <spec>`414243Notes4445- The skill favors local, auditable actions (commits are local). It logs all artifacts to results/ and keeps subagent sessions available for reuse.
Run npx skillmds@latest add knownasnaffy/case-01767 in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.
workflow-runner It is listed under AI & ML on SkillMD.
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knownasnaffy (@knownasnaffy) published this skill. Their other Agent Skills are listed on their SkillMD profile.