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brainstorm

Run interactive brainstorming across verifiers tasksets, evaluations, GEPA, and RL training. Use when the user wants ideation, literature scanning, concept teaching, roadmap planning, or research program design grounded in local CLI sources, verifiers, and RL trainer code.

68

Quality

81%

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SKILL.md
Quality
Evals
Security

Quality

Content

77%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A concise, well-structured interactive skill body with a clear discovery workflow. Its main weakness is actionability: the routing decisions (e.g. 'use the Environment Hub', 'choose GEPA') are named but not backed by concrete steps or examples.

Suggestions

Add concrete pointers for the routing decisions, e.g. how to invoke the Environment Hub and which sibling skill maps to each branch, so Claude can act without guessing.

Add an explicit validation checkpoint in the discovery workflow (e.g. confirm the chosen path and budget with the user before proceeding to the technical skill).

DimensionReasoningScore

Conciseness

The body is lean and efficient, covering goal, interaction style, and a discovery workflow with no padding or explanation of concepts Claude already knows.

5 / 5

Actionability

Guidance is concrete in direction (ask clarifying questions, use the Environment Hub, choose GEPA for optimization) but stays high-level with no specific commands, examples, or executable steps for the discovery decisions.

3 / 5

Workflow Clarity

A clear two-step discovery sequence is present with decision branches, but it lacks explicit validation checkpoints or feedback loops for confirming the chosen path with the user.

4 / 5

Progressive Disclosure

For a short single-purpose skill with no bundle files, the content is well-organized into clear sections (Goal, Interaction style, Discovery workflow) appropriate to its scope.

5 / 5

Total

17

/

20

Passed

Description

85%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong description that clearly states both capability and trigger conditions with concrete, domain-specific language. Minor improvements possible around trigger synonyms and tightening broad terms to reduce overlap risk.

Suggestions

Add common synonyms or natural phrasings users might say (e.g. 'brainstorm ideas', 'plan a research roadmap', 'explore evaluation design') to broaden trigger coverage.

Tie 'ideation' and 'roadmap planning' more explicitly to the verifiers/RL-training domain to reduce overlap with generic planning skills.

DimensionReasoningScore

Specificity

Names the domain (brainstorming) and several concrete actions ('ideation, literature scanning, concept teaching, roadmap planning, or research program design'), giving good but not fully comprehensive action coverage.

4 / 5

Completeness

Explicitly answers both what ('Run interactive brainstorming across verifiers tasksets, evaluations, GEPA, and RL training') and when ('Use when the user wants ideation, literature scanning, concept teaching, roadmap planning, or research program design').

5 / 5

Trigger Term Quality

Includes natural user-facing phrases ('ideation', 'roadmap planning', 'research program design') but is missing common synonyms and file/format terms that would round out coverage.

4 / 5

Distinctiveness Conflict Risk

The niche (brainstorming tied to verifiers/GEPA/RL training) is fairly distinct, though 'ideation' and 'roadmap planning' are broad enough to risk minor overlap with general planning skills.

4 / 5

Total

17

/

20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
PrimeIntellect-ai/verifiers
Reviewed

Table of Contents

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