HillClimb
Improves anything in LifeOS (a skill, workflow, eval, ISA, prompt, rule or code metric)...
Install
npx skills add danielmiessler/LifeOS --skill HillClimb -g -a claude-code -y- Repository
- danielmiessler/LifeOS19.7k
- Category
- AI and agents
- Updated
- 8d ago
- License
- MIT
- Context cost
- Mediumabout 3,000 tokens
- Runs scripts
- Yes, review before use
What it does
Improves anything in LifeOS (a skill, workflow, eval, ISA, prompt, rule or code metric) by experiment: finds its real misses in Errata, Assay and its ISA, draws changes from varied proposers, keeps only what held-out measurement supports until plateau, lands each catch as a standing check, then verifies complaints fell. With no target it climbs the steepest hill. USE WHEN hill climb, hillclimb, climb this, improve X, make X better, optimize, reduce latency, improve a metric, experiment, iterate, hypothesis, evolve ideas, ideate, experiment ideas, this keeps failing fix it for good, what hurts most, what should we improve, turn this miss into a check, did that fix work, before and after, iterate with me, multiple passes, revisit, rework. NOT FOR filing a complaint (Errata), writing or calibrating one eval suite (Assay), editing an ISA (ISA), skill scaffolding or description tuning (CreateSkill), mining outside content (Upgrade), one-pass brainstorming (BeCreative), diagnosis without an experiment (Science).
HillClimb
Contents: Ideal State · Intent Routing · The loop (every workflow runs it) · Targets at a glance · Data & Config · Safety gates · Gotchas · Examples
The climber for the one loop LifeOS runs (LIFEOS/DOCUMENTATION/LifeOs/HillClimbing.md), and LifeOS's one place to improve something by experiment: collect ideas, vary and combine them, test them, and feed the results back as raw material for the next ideas. The instruments already exist: Errata is the pain signal, Assay the altimeter, its judgment layer and labels the fast sense, the ISA the hill, Upgrades the queue. HillClimb points them at one named thing and climbs it. The experiment discipline inside each climb comes from Anthropic's eval hill-climbing guide (Claude Code's bundled /claude-api hillclimb), enforced here in code against our own instruments.
