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idea-discovery-robot

Workflow 1 adaptation for robotics and embodied AI. Orchestrates robotics-aware literature survey, idea generation, novelty check, and critical review to go from a broad robotics direction to benchmark-grounded, simulation-first ideas. Use when user says \"robotics idea discovery\", \"机器人找idea\", \"embodied AI idea\", \"机器人方向探索\", \"sim2real 选题\", or wants ideas for manipulation, locomotion, navigation, drones, humanoids, or general robot learning.

72

Quality

88%

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SecuritybySnyk

Low

Low-risk findings worth noting

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.

The content is a well-sequenced, highly actionable orchestration pipeline with strong validation checkpoints and feedback loops. Its main weaknesses are redundancy that bloats the token budget and a monolithic structure that would benefit from extracting templates into bundle reference files.

Suggestions

De-duplicate the Good/Weak Robotics Idea Patterns and Filtering Rules sections with the "Key Rules" summary to reduce redundancy and trim token use.

Extract the landscape matrix, pilot-plan template, and final report skeleton into reference files under ./references/ and link to them one level deep, since no bundle files currently exist.

Tighten the checkpoint message templates (e.g., the robotics survey and ranked-ideas blocks) to short prompts rather than full multi-line boilerplate.

DimensionReasoningScore

Conciseness

Mostly efficient and substantive, but contains non-trivial redundancy — good/weak idea patterns repeat the filtering rules, checkpoint message templates are verbose, and the "Key Rules" section restates points made earlier — beyond minor trimming.

3 / 5

Actionability

Provides copy-paste-ready slash-invocation strings with concrete arguments, a populated landscape matrix, explicit pilot-plan field templates, and a complete report skeleton covering the common cases.

5 / 5

Workflow Clarity

Clear Phase 0–6 sequence with explicit checkpoints, an AUTO_PROCEED rule, and feedback loops (user requests changes → refine → re-present); validation is present via novelty-check, external review, and mandatory failure-metric requirements.

5 / 5

Progressive Disclosure

Well-sectioned but monolithic: no bundle reference files exist (references/scripts/assets absent) despite the skill being large and template-heavy, and content that could be split (landscape matrix, pilot template, report template) is inlined rather than one-level-deep references.

3 / 5

Total

16

/

20

Passed

Description

100%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.

The description is well-crafted: it states concrete capabilities, provides comprehensive and multilingual trigger terms, and cleanly separates what the skill does from when to use it. It occupies a distinct niche with low conflict risk.

DimensionReasoningScore

Specificity

Names multiple concrete actions ("robotics-aware literature survey, idea generation, novelty check, and critical review") plus a clear outcome ("benchmark-grounded, simulation-first ideas") with comprehensive domain coverage.

5 / 5

Completeness

Explicitly answers both what (orchestrates a four-phase pipeline to produce ideas) and when ("Use when user says ...") with concrete trigger phrases.

5 / 5

Trigger Term Quality

Comprehensive natural trigger phrases including English ("robotics idea discovery", "embodied AI idea"), non-English synonyms ("机器人找idea", "sim2real 选题"), and concrete task-family keywords (manipulation, locomotion, drones, humanoids).

5 / 5

Distinctiveness Conflict Risk

Clear robotics/embodied-AI niche with distinctive triggers; the explicit benchmark-grounded, simulation-first framing minimizes overlap with generic ML idea-discovery skills.

5 / 5

Total

20

/

20

Passed

Validation

93%

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

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

relative_links

Relative link issues: 3 suspicious

Warning

Total

15

/

16

Passed

Repository
wanshuiyin/Auto-claude-code-research-in-sleep
Reviewed

Table of Contents

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