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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.

64

Quality

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Advisory

Suggest reviewing before use

SKILL.md
Quality
Evals
Security

Quality

Content

62%

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

A clearly sequenced, well-structured pipeline with strong workflow gating, but it is verbose with repeated constraints, leans on sibling skills for executable core, and does not split detail into bundle files.

Suggestions

Deduplicate the robotics constraint lists (Overview vs Phase 0 frame) and collapse "Key Rules" into a pointer to earlier sections to cut ~60 lines of repetition.

Extract the landscape matrix, report template, and good/weak/filtering rubrics into reference files under references/ so SKILL.md stays an overview with one-level-deep navigation.

Add at least one fully concrete, self-contained example (e.g., a filled-in Robotics Problem Frame and one ranked idea) so the pipeline is actionable without relying on sibling sub-skills.

DimensionReasoningScore

Conciseness

The body is well-organized but lengthy (~360 lines) with redundancy: robotics constraints are restated in both Overview and Phase 0, and "Key Rules" repeats earlier filtering rules, so it could be tightened.

2 / 3

Actionability

It gives concrete sub-skill invocation strings, a report template, and classification matrices, but the executable core delegates to sibling skills and much of the filtering guidance is descriptive rather than copy-paste runnable instructions.

2 / 3

Workflow Clarity

A clear 0-6 phase sequence with explicit checkpoints, an AUTO_PROCEED rule, and feedback loops (refine frame -> re-run phase; explicit hardware-approval gate) matches the top anchor.

3 / 3

Progressive Disclosure

It is a single monolithic SKILL.md with no references/scripts/assets bundle; the only linked files are external shared-references, and large blocks (landscape matrix, report template, filtering rubrics) remain inline rather than split out.

2 / 3

Total

9

/

12

Passed

Description

92%

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, specific description with explicit what-and-when triggers and broad natural keyword coverage in two languages. Its only weakness is mild overlap risk with a generic idea-discovery skill via the broadest triggers.

DimensionReasoningScore

Specificity

"Orchestrates robotics-aware literature survey, idea generation, novelty check, and critical review" lists multiple specific concrete actions, matching the top anchor.

3 / 3

Completeness

It states what it does ("Orchestrates...to go from a broad robotics direction to benchmark-grounded, simulation-first ideas") and explicitly when to use it ("Use when user says..."), satisfying both halves.

3 / 3

Trigger Term Quality

Natural triggers span English and Chinese phrasings ("robotics idea discovery", "机器人找idea", "embodied AI idea") plus task families users would say, giving good coverage.

3 / 3

Distinctiveness Conflict Risk

The robotics niche is fairly distinct, but broad triggers like "general robot learning" and its lineage as a "Workflow 1 adaptation" could overlap with a sibling generic idea-discovery skill; not yet a fully unambiguous niche.

2 / 3

Total

11

/

12

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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