メニュー
Scientific/analytical reasoning workflow — hypothesis→experiment→conclusion
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
UI/UX design and frontend component generation
Diagnose and fix build/CI failures automatically
Concurrent code generation via multi-model picker
OMP self-improvement — analyse own skills/agents and propose improvements
Visual diff/screenshot comparison verdict
Clone and adapt a web page/design to the codebase
| name | sciomc |
| description | Scientific/analytical reasoning workflow — hypothesis→experiment→conclusion |
| trigger | sciomc:, /sciomc, /omp:sciomc |
| autoinvoke | false |
| Field | Value |
|---|---|
| ID | sciomc |
| Keywords | sciomc:, /sciomc |
| Tier | Analytical Tool |
| Source | src/skills/sciomc.mts |
Applies rigorous scientific reasoning to software problems via a hypothesis→experiment→conclusion chain. For each problem, the agent formulates a testable hypothesis, designs a minimal experiment, runs it, and draws a conclusion. Chains multiple cycles until the hypothesis is confirmed or refuted with evidence. Ideal for debugging non-deterministic issues, performance regressions, and unknown system behaviours.
interface SkillInput { trigger: string; args: string[]; }
interface SkillOutput { status: "ok" | "error"; message: string; }
export async function activate(input: SkillInput): Promise<SkillOutput>
export function deactivate(): void
Extension-only skill. Triggers the scientific reasoning pipeline in Copilot. The CLI prints guidance directing users to the Copilot CLI slash command.
P3 scope: Parallel scientist agents with AUTO mode (as specified in SPEC-omp-2.0 §3) are deferred to P3. The current implementation triggers a single hypothesis→experiment→conclusion chain.