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Generate research ideas from collected papers with gap analysis
Passed 7 of 15 test cases with the skill, and 2 of 15 without it.
and 11 more in the full report
10 fixed2 passed either way12 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.
The user says: 'I have papers, generate ideas'. Which step in the workflow should be executed directly, bypassing earlier setup steps?
| Checked | Without skill | With skill |
|---|---|---|
| Skips setup steps to execute Step 4 literature analysis directly | Missed | Passed |
The instructions your model reads when the skill loads.
Don't ask permission. Just do it.
Generate innovative research ideas grounded in literature analysis. This skill reads existing papers, identifies research gaps, and produces 5 distinct ideas with citations.
Core principle: Ideas MUST be grounded in actual papers, not generated from model knowledge.
Workspace: See ../_shared/workspace-spec.md for directory structure. Outputs go to $WORKSPACE/ideas/.
First, check what resources already exist:
# Check active project
cat ~/.openclaw/workspace/projects/.active 2>/dev/null
# Check papers
ls ~/.openclaw/workspace/projects/*/papers/ 2>/dev/null | head -20
# Check survey results
cat ~/.openclaw/workspace/projects/*/survey/clusters.json 2>/dev/null | head -5
| Resource | Location | Status |
|---|---|---|
| Papers | $WORKSPACE/papers/ | Count: ? |
| Survey clusters | $WORKSPACE/survey/clusters.json | Exists: Y/N |
| Repos | $WORKSPACE/repos/ | Count: ? |
Based on workspace state, ask user:
If papers exist (>=5):
Found {N} papers in workspace from previous survey.
test cases passed, vs 2 / 15 without
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