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Extract creative intent from images into executable build specs. Activates on images + build intent, "image to mission", "i2m", or capturing visual energy in code/design.
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
Unit Circle Laboratory + sc-dev-team autonomous mission control. Provides human-in-the-loop automation layer, pipeline management, context lifecycle, stuck-state prevention. UC re-execution series and dev branch milestones. Adapted from uc-lab pattern for code plan/execute/verify/complete. Auto-activates during UC milestone work; trigger: user says 'bring up the dev team'.
Generate intelligence briefings for the planning dashboard. Use this skill whenever a request file appears in `.planning/console/inbox/pending/` whose `type` field starts with `intelligence.` (refresh_briefing, triage_finding, snapshot_diff, investigate_section, dismiss_finding). The skill reads the per-project KB at `.gsd/intelligence/intelligence.db`, synthesizes a briefing with a causal hypothesis + acknowledged uncertainty + confidence label and ranked moves, then writes the result back to the KB. Always trigger this skill for these request types — do not generate briefings manually.
Sketched Isotropic Gaussian Regularization primitive. Scalar loss matching the embedding distribution to a standard-normal target via Cramér-Wold slicing and the Epps-Pulley empirical characteristic function test. Port of rbalestr-lab/lejepa (MIT). Default-off in v1.49.571.
Adversarial spec-compliance PR review — cross-references diffs against approved specs, verifies runtime claims against source, detects competing PRs, audits scope/convention compliance. Use before merging.
Pick among candidate outputs (code, configs, plans) by running them on diverse inputs and clustering by behavioural fingerprint, rather than by textual aggregation or log-probability. Activates when an executor returns multiple plausible candidates that need disambiguation, when output-majority voting would be the default choice, or when reviewing generated code that has not yet been validated. The 2026 evidence (Semantic Voting, arxiv 2605.08680v1) is that any execution-based selector dominates output-majority voting by 19-52pp; sketch-generated inputs beat random fuzz by 11.3pp. Triggers: "pick the best candidate", "majority vote on code", "select from N samples", "validate the generated output", "behavioural verification".
Classify the information-need of a query and dispatch it to the appropriate retrieval or reasoning strategy. Use before read-side memory access, before multi-strategy retrieval, or any time you'd otherwise default to "one retriever for everything". Returns a strategy label, a token budget, and a retrieval depth so downstream handlers can be specialised. Backed by Pre-Route (arxiv 2605.10235v2) and MemFlow (arxiv 2605.03312v1), which together show LLMs possess latent routing ability elicitable via a structured prompt — and that externalising the routing decision improves small-model performance by ~2x. Triggers: "route this", "what strategy", "before retrieving", "intent classification", or any query whose ideal handling depends on what KIND of question it is.
| name | image-to-mission |
| description | Extract creative intent from images into executable build specs. Activates on images + build intent, "image to mission", "i2m", or capturing visual energy in code/design. |
| domain | creative-translation |
| context | fork |
| activation | domain |
| dependencies | {"optional":["vision-to-mission"]} |
| format | "2025-10-02T00:00:00.000Z" |
| version | 1.0.0 |
| status | ACTIVE |
| updated | "2026-04-15T00:00:00.000Z" |
| triggers | ["user provides an image and wants it turned into a build spec or mission","\"image to mission\" or \"i2m\" is requested","capturing visual or design energy from an image into code or a mission package"] |
Takes one or more images plus optional creator context and produces:
Activate when the user provides images AND expresses intent to:
DO NOT activate when the user:
Before building anything, enter observation mode:
Process each image through four layers:
Structure context into: process, intent, constraints, accidents, multipurpose. Extract the process insight — the key understanding about HOW it was made.
Synthesize observations + context into unified understanding. Find what neither source reveals alone.
Convert understanding to numerical parameters:
Translate parameters to target medium. Generate step-by-step instructions with philosophy notes.
Package everything for transmission. Validate self-containment.
| Format | When | Content |
|---|---|---|
| Direct build | Simple, single-medium output | Code/SVG + philosophy notes |
| Build spec | Medium complexity | Step-by-step instructions |
| Mission package | Complex, multi-component | Full vision_to_mission handoff |
| Transmission package | Cross-context work | JSON/Markdown bundle |
Code lives in src/vtm/image-to-mission/. Key modules:
