OSOP Workflow Optimizer#

Improve a workflow based on its execution history.

Target workflow#

$ARGUMENTS

What to do#

1. Read the .osop file specified in the argument

2. Find execution logs — look for matching .osoplog.yaml files in sessions/ or the same directory

3. Aggregate stats from all matching logs:

   • Per-node: average duration, failure rate, timeout rate, common errors
   • Overall: success rate, average total duration, run count

4. Identify issues:

   • Slow steps: nodes with avg_duration > 5s
   • Failure hotspots: nodes with failure_rate > 10%
   • Bottlenecks: nodes that are both slow AND unreliable
   • Missing retries: external call nodes (api, cli, agent, infra, mcp) without retry_policy
   • Missing timeouts: external call nodes without timeout_sec
   • Parallelization: sequential chains of 3+ independent nodes
   • Missing error handling: high-risk nodes without fallback/error edges

5. Generate suggestions and present as a table: text

   | Type | Target Node | Description | Priority |
   |------|-------------|-------------|----------|
   | add_retry | fetch-data | 35% failure rate, add retry with backoff | HIGH |
   | parallelize | scan, test, lint | Independent steps, run in parallel | MEDIUM |
   
   

6. If user approves, apply changes to the .osop file

7. Show diff of changes before writing

Self-optimization loop#

This skill enables the feedback loop:

text

Execute → Log (.osoplog) → Analyze (this skill) → Improve (.osop) → Re-execute → Better results

Each iteration makes the workflow more resilient and efficient.