ask-obstacle-acceptance
Skill2 starsChanged 6 months agoApache-2.0View on GitHub
Present obstacles with their severity assessments and proposed mitigations to the user. Ask whether they can accept these obstacles. If unacceptable after 2 rounds, return to present-candidates.
In this repository32 other files it gives its agents.
- actor-profilingSkill
- and-or-decomposeSkill
- ask-constraintsSkill
- ask-decomposition-validationSkill
- ask-intentionalitySkill
- 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-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
Ask Obstacle Acceptance
Get user's acceptance of the obstacle landscape.
Execution
Dialogue — inline, no subagent.
What to Present
Each obstacle with:
- Severity assessment
- Proposed mitigation
- Estimated effort
What to Ask (one at a time)
- Given these obstacles and mitigations, can you accept this direction?
- Are there difficulties I missed that you're aware of?
- Is there any obstacle here that's a complete deal-breaker?
Search
Optional — may use the 5 imported skills if user raises new concerns that need investigation.
If Unacceptable
Signal to tactic that direction needs to change (return to present-candidates in direction-narrowing tactic).
Output
User's acceptance decision + any new concerns raised.
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