skill-iterative-loop
FeaturedRun tasks in a loop until goals are met — use for iterative refinement, polling, or convergence
Install
Quality Score: 99/100
Skill Content
Details
- Author
- nyldn
- Repository
- nyldn/claude-octopus
- Created
- 8 months ago
- Last Updated
- today
- Language
- Shell
- License
- MIT
Integrates with
Bundled in these plugins
Similar Skills
Semantically similar based on skill content — not just same category
loop-engineering
Use to design or add a new bounded loop to the kit's SDLC orchestration ("design a new loop", "is this worth a loop"), or mentions the Karpathy loop / autoresearch / hill-climb / search-and-select prompt or parameter tuning. NOT for a one-off in-session Stop-hook goal (use goal-craft), NOT for the debug loop (already exists, use /kit:debug), NOT for building the loop's actual code.
skill-iter-tune
Iterative skill tuning via execute-evaluate-improve feedback loop. Uses maestro delegate Claude to execute skill, Agy to evaluate quality, and Agent to apply improvements. Iterates until quality threshold or max iterations. Triggers on "skill iter tune", "iterative skill tuning", "tune skill".
goal-loop
Runs an iterative implement-evaluate-improve loop toward a measurable goal, treating it like gradient descent — attempt, evaluate, diagnose specifically what to fix, revise, repeat — with momentum across iterations and early stopping when progress plateaus. Splits success criteria into checks the implementer sees and held-out checks it never sees, so passing the visible ones while failing the held-out ones is caught and reported as gaming, not success. Use for "keep going until this actually works" tasks, or anywhere you don't fully trust that green visible tests mean the underlying goal was really met.