landscape-reconnaissance
Skill2 starsChanged 6 months agoApache-2.0View on GitHub
Broad, shallow exploration of candidate research fields. Understand what's out there before narrowing. Use when the user needs to discover which fields are available to them — especially in cold-start and warm-start scenarios.
In this repository32 other files it gives its agents.
- actor-profilingSkill
- and-or-decomposeSkill
- ask-constraintsSkill
- ask-decomposition-validationSkill
- ask-intentionalitySkill
- ask-obstacle-acceptanceSkill
- assess-obstacle-severitySkill
- broad-paper-searchSkill
- broad-web-searchSkill
- clarify-resourcesSkill
- cold-startSkill
- crystallize-north-starSkill
- deep-web-searchSkill
- direction-narrowingSkill
- explore-resumeSkill
- feasibility-checkSkill
- final-validationSkill
- formulate-top-goalSkill
- generate-candidate-fieldsSkill
- generate-research-briefSkill
- goal-decompositionSkill
- hot-startSkill
- identify-obstaclesSkill
- landscape-synthesisSkill
- north-star-crystallizationSkill
- north-star-synthesisSkill
- obstacle-analysisSkill
- present-and-askSkill
- present-candidatesSkill
- propose-mitigationsSkill
- validate-leavesSkill
- warm-startSkill
The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 21
If iteration is needed, expand breadth (more fields, more searches), never depth
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Landscape Reconnaissance
Broad, shallow field exploration. Understand the landscape of possibilities before narrowing.
Available SOPs
| SOP | Purpose | Execution |
| generate-candidate-fields | Generate candidate fields from ActorProfile | subagent |
| broad-web-search | Scan web for each candidate field | import: web-search |
| landscape-synthesis | Synthesize search results into FieldPanorama | subagent |
| present-and-ask | Present panorama to user, get field selection | dialogue |
Methodology Guidance
- If iteration is needed, expand breadth (more fields, more searches), never depth
- Depth is direction-narrowing's job
- You decide when enough information exists to synthesize
Hard Constraints
broad-web-search: brave_web_search count=10 per call, at least 150 total results before synthesislandscape-synthesis: Don't only chase niche/novel combinations. Must also consider direct frontal competition in hot fields. The ambition to tackle hard problems head-on must be present.
Output (Tactic-Level Aggregation)
FieldPanorama[] + user's selected 1-2 fields of interest
Does it work?
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