Instructions file CodexOpenCode
Instructions for PlanExeOrg/PlanExe, covering planexe agent instructions, repo architecture map, shared contracts, hard rules (agent safety) and environment variables.
398 2d ago A 1,637 tokens
original MIT
Skill Claude CodeCodex
Use when the user wants to extract parameters from a PlanExe extraction-input digest (the markdown produced by experiments/napkinmath/prepareextractinput.py — the 137-recommended section bundle, with the four "Keep or compress" sections compressed) instead of the full PlanExe HTML report.
398 2d ago A 65 tokens
original MIT
Skill Claude CodeCodex
Use when the user wants to extract parameters, modelling values, or key variables from a PlanExe report (HTML or text) for napkin math, triage, or Monte Carlo simulation.
398 2d ago A 43 tokens
original MIT
Skill Claude CodeCodex
Use when the user wants to generate low/base/high assumption ranges (bounds) for missing or uncertain variables in a validated extract-parameters-from-full JSON, in preparation for deterministic scenarios or Monte Carlo.
398 2d ago A 42 tokens
original MIT
Skill Claude CodeCodex
Use when the user wants to turn a validated extract-parameters-from-full JSON into a Python module of deterministic functions implementing the formulahint expressions for downstream scenario runs and Monte Carlo.
398 2d ago A 39 tokens
original MIT
monte-carlo
06Skill Claude CodeCodex
Use when the user wants Monte Carlo simulation of a PlanExe model — sampling from bounds to produce output distributions (mean/std/percentiles), threshold pass probabilities, and Pearson-correlation sensitivity rankings — given an extract-parameters-from-full JSON, a generate-bounds JSON, a generate-calculations…
398 2d ago A 71 tokens
original MIT
Skill Claude CodeCodex
Use when the user wants to run the napkin-math pipeline end-to-end on a PlanExe report, or resume a partially populated output directory by filling in only the missing stages. Orchestrates digest preparation, parameter extraction, validation, bounds, calculations, scenarios, Monte Carlo, and assessment rendering.…
398 2d ago C 92 tokens
original MIT
Skill Claude CodeCodex
Use when the user wants to compute deterministic low/base/high scenario outputs for a PlanExe model — given an extract-parameters-from-full JSON, a generate-bounds JSON, and a generate-calculations Python module — producing a scenario result JSON with inputs, outputs, comparison spread, and warnings.
398 2d ago A 63 tokens
original MIT
Skill Claude CodeCodex
Use after the napkinmath pipeline has produced parameters/bounds/scenarios/montecarlo JSON to generate a plan assessment (assessment.md) — a thin interpretation layer over the intermediary artifacts. Emits a JSON manifest, a provenance map, gate verdicts (Critical / Fragile / Marginal / Robust), failure drivers…
398 2d ago A 104 tokens
original MIT
Skill Claude CodeCodex
Use after any change under experiments/napkinmath/ or to the upstream skill prompts that feed into it (extract-parameters-from-full, extract-parameters-from-digest, generate-bounds, generate-calculations, run-scenarios, monte-carlo). Runs the smoke-test suite and reports pass/fail. Invoke before declaring napkin-math…
398 2d ago A 81 tokens
original MIT
Skill Claude CodeCodex
Use after the napkinmath pipeline has produced parameters.json (from extract-parameters-from-digest or extract-parameters-from-full) to validate it against the 16 structural checks the rest of the pipeline assumes. Writes validation.json next to parameters.json. Deterministic Python — no LLM call.
398 2d ago A 64 tokens
original MIT
planexe-mcp
12Skill Claude CodeCodex
OpenClaw skill for connecting to PlanExe via Model Context Protocol. Supports three deployment scenarios: cloud-hosted service, remote Docker, and local Docker.
398 2d ago A 36 tokens
original MIT
planexe
13MCP server Claude CodeCodexCursor +2
MCP server for generating rough-draft project plans from natural-language prompts. Remote server at mcp.planexe.org.
398 2d ago A
tokens not measured
original MIT