About this skill
Auto-calibrate EDPA CW signal weights using the Monte Carlo + coordinate-descent optimizer (v1.11+). One target file (cwheuristics.yaml.tmpl), one metric (MAD on a synthetic corpus), two phases (random sample → coordinate descent). Use when: user says "calibrate CW", "auto-calibrate", "optimize heuristics", "recalibrate signals". Synthetic corpus — runnable any time, no ground-truth file required. Re-run after a real PI close once team-confirmed CW corrections are available (see "Re-run with real data" below).
Quick start
- Copy the install prompt. Use the green button above this README.
- Send it to your agent. Paste it into your coding agent’s chat and send.
- Review the setup. Your agent checks the skill’s instructions, requirements, and installation scope.
Review, license & listing details
This is an imported listing. We haven’t certified its safety, license, or compatibility. Skills may include executable scripts.
Only SKILL.md was scanned. Supporting files and scripts were not checked. No safety grade has been assigned.
0 potential findings · Scanned 11/4/2026 · Scanner 0.2.1
Content SHA-256: 0864c3e7c5a50d9cf2a5b1c7204cad357d47f41c73c9fdbdd604bb28d3a3b07c
About this listing
- Category
- General
- Reported license
- MIT
- Listing language (estimated)
- English
- Review status
- Not individually reviewed
- Agent compatibility
- Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.