assess-obstacle-severity
Skill2 starsChanged 6 months agoApache-2.0View on GitHub
Rate each identified obstacle's difficulty — overcomability, time cost, workaround existence. May optionally use search tools to validate assessments.
In this repository32 other files it gives its agents.
- actor-profilingSkill
- and-or-decomposeSkill
- ask-constraintsSkill
- ask-decomposition-validationSkill
- ask-intentionalitySkill
- ask-obstacle-acceptanceSkill
- 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-reconnaissanceSkill
- landscape-synthesisSkill
- north-star-crystallizationSkill
- north-star-synthesisSkill
- obstacle-analysisSkill
- present-and-askSkill
- present-candidatesSkill
- propose-mitigationsSkill
- validate-leavesSkill
- warm-startSkill
The file
Files
Assess Obstacle Severity
Assess how severe each obstacle actually is for this specific user.
Execution
Subagent — spawned via subagent-spawning/spawn-agent skill.
Input
- Identified obstacles list
- ActorProfile
Search
Optional — may use web-search, web-research, literature-overview, literature-search, literature-research to validate assessments.
Output
Each obstacle rated on:
- Overcomability: 1-week learnable / 1-month effort / 6-month investment / fundamental blocker
- Time cost estimate
- Workaround existence (yes/no + description)
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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