frenzymath/rethlas/identify-key-failures

Claude Code and agent skill by frenzymath/rethlas

Trust tier 3
  • community
Source check pending

Checking that the SKILL.md file is still in the repository.

Synthesize the common stuck points across failed decomposition plans and recursive sub-agent reports. Use when the current batch of decomposition plans has failed.

Install

npx vskill@latest install frenzymath/rethlas/identify-key-failures

SKILL.md

Identify Key Failures

Use this skill to turn many failed attempts into reusable guidance for the next planning round.

Input Contract

Read:

  • the failed decomposition plans
  • direct-proving stuck points
  • recursive sub-agent reports
  • existing failed_paths
  • relevant counterexamples and toy_examples

Procedure

  1. Gather the reports from all failed plans and sub-agents.
  2. List the key stuck points for each plan.
  3. Identify common points across those failures:
  • recurring obstructions or counterexamples
  • decomposition patterns that keep breaking
  • search gaps or missing background facts
  1. Summarize what the failures suggest for the next generation of decomposition plans.
  2. Save the synthesized failure knowledge to failed_paths so later planning skills can use it.
  3. After recording the failure synthesis, return control to $propose-subgoal-decomposition-plans.

Output Contract

Append to failed_paths:

json
{
"record_type": "key_failures_summary",
"failed_plan_ids": ["..."],
"plan_failures": [
{
"plan_id": "...",
"stuck_points": ["..."]
}
],
"common_failures": ["..."],
"implications_for_next_plans": ["..."]
}

Also append an events record indicating that a new planning round is needed.

MCP Tools

  • memory_search
  • memory_append
  • branch_update

Failure Logging

If the reports are too weak to identify meaningful common failures, append an events record with event_type="key_failures_inconclusive" and state what information is still missing.

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
58
Repository forks
11
7-day trend score
20

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 20 May 2026, 5 months ago.

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