frenzymath/pharos/propose-subgoal-decomposition-plans

Claude Code and agent skill by frenzymath/pharos

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Propose multiple subgoal decomposition plans for the current theorem using the information already gathered. Use when enough information has been collected from examples, counterexamples, search results, and previous failures to break the problem into several materially different plans.

Install

npx vskill@latest install frenzymath/pharos/propose-subgoal-decomposition-plans

SKILL.md

Propose Subgoal Decomposition Plans

Use this skill when the agent has enough context to propose several viable decomposition plans.

Input Contract

Read:

  • the current target theorem or branch goal
  • relevant immediate_conclusions, toy_examples, and counterexamples
  • relevant failed_paths and branch_states
  • recent search results and useful references from events

Procedure

  1. Gather the current information that materially constrains the problem: useful examples, failed claims, known obstructions, and relevant search results.
  2. Propose materially different decomposition plans.
  3. For each plan, state:
  • the main idea of the plan
  • the ordered subgoals
  • why this plan is plausible given the current information
  • which earlier failures or counterexamples it tries to avoid
  1. Hand each plan to $direct-proving for a quick screening pass.

Output Contract

Publish one plan per decomposition to global memory with gm_add (kind plan, a judgment — verifiable=false): claim = the plan's goal + summary, evidence = its motivation, plus these fields:

json
{
"plan_id": "...",
"record_type": "decomposition_plan",
"goal": "...",
"plan_summary": "...",
"subgoals": ["..."],
"motivation": ["..."],
"uses_information_from": {
"examples": ["..."],
"counterexamples": ["..."],
"key_failures": ["..."],
"search_results": ["..."]
},
"status": "proposed|screening|screened|selected|failed|solved",
"branch_id": "optional"
}

Also note the new plan set in your local memory (events).

Tools

  • gm_add (publish the plan findings)
  • gm_search (recall the examples/counterexamples/dead-ends the plans build on)
  • search_arxiv_theorems

Failure Logging

If the agent cannot yet propose meaningful decomposition plans, append an events record with:

  • event_type="decomposition_plans_not_ready"
  • the missing information
  • the blockers that prevent proposing plans

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
30
Repository forks
4
7-day trend score
0

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