Run exploratory or implementation spike experiments to resolve mission uncertainty.
npx skills add https://github.com/MathieuDoyon/mission --skill mission-spike
Please help me install this Agent Skill. Skill: mission-spike Source: https://github.com/MathieuDoyon/mission/tree/main/.claude/skills/mission-spike Command: npx skills add https://github.com/MathieuDoyon/mission --skill mission-spike
It resolves unknowns by running a focused experiment so the mission can plan and implement with evidence instead of speculation.
Ask the orchestrator to resolve one clear unknown by invoking mission-spike with the question, and direct it to run either an exploratory probe or an implementation spike depending on which is cheaper to confirm.
High-intent search queries and answers about installing and using this skill.
Run an exploratory spike to resolve unknown API assumptions by probing data shapes and behavior with throwaway scripts. This generates concrete evidence captured in a mission-report, allowing you to proceed with implementation based on facts rather than speculation.
Validating technical feasibility during a planning plateau involves running a focused spike experiment. By selecting exploratory or implementation mode, you test the smallest possible assumption, outputting a structured mission-report with artifacts and a promote checklist to guide routing decisions.
Run an implementation spike to draft rough code directly in the source tree while tagging it with a MISSION-SPIKE marker. This isolates experimental code for later promotion and emits a mission-report detailing commit status and a checklist for integrating valid findings.
Use an exploratory probe when you need cheap learning about APIs or performance using throwaway scripts. Choose an implementation spike when you need to draft rough code in the source tree to validate structural assumptions and generate a promotion checklist.
Project plans repeatedly fail when facing unknown technical requirements because planning relies on speculation. Running an evidence-gathering spike experiment generates facts about data shapes and behavior, producing a mission-report that breaks the cycle of repeated plan failures.
Before running an autonomous agent spike experiment, you must select either exploratory or implementation mode and set up the workspace. This preparation allows the agent to run the smallest experiment needed to generate evidence and emit a structured mission-report.
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