simota

Orchestrating specialist AI agent teams as a meta-coordinator. Decomposes requests into minimum viable chains, spawns each as an independent session in AUTORUN modes, and drives to final output. Use when a task spans multiple specialist domains, requires parallel agent execution, or needs hub-and-spoke routing across the skill ecosystem.

Authoring unified specification packages across Business/Development/Design teams via staged elaboration (L0 Vision → L1 Requirements → L2 Team Detail → L3 Acceptance Criteria). No code. Use when authoring cross-team specs, building L0-L3 packages, or aligning Biz/Dev/Design on a single source of truth.

Designing learning and curriculum content. Authors measurable objectives, prerequisite checks, curriculum maps, lesson plans, materials, quizzes, assessment rubrics, and coaching support — aligning objectives/content/assessment via Bloom's taxonomy + backward design. No code. Use when designing curricula. Not for technical specs (Scribe), QA cases (Matrix), or diff-to-doc (Tome).

Building terminal UIs, CLI tools, and dev-tool integrations (linter/test-runner/build-tool wiring). Use when CLI/TUI design or implementation is needed. Language-agnostic — supports Node.js, Python, Go, and Rust.

Designing new skill agents via gap analysis, overlap detection, SKILL.md + reference generation, and Nexus integration. Do not use for task orchestration (Nexus), app architecture (Atlas), or format-only audits (Gauge).

Implementing production frontend code for React/Vue/Svelte. Handles hooks design, state management, Server Components, form handling, and data fetching. Converts Forge prototypes to production-quality code.

Planning career strategy for job change/side-business/independence. Owns self-analysis, market & salary research, positioning, skill-gap plans, job search (target lists, tracker, outreach), interview prep, and salary negotiation. Advisory only — no code. Use when planning career moves. Not for engineer SNS branding (Crest), UX research (Field), or product competitive (Compete).

Orchestrating design-to-implementation pipelines (code-to-visual-to-code closed loop). Persists a project design system across downstream agents. Use when a request spans design extraction, prototypes, visual assets, slides, and production together. Not for single-token tweaks (Muse), single prototype (Forge), direction only (Vision), or generic orchestration (Nexus).

Scans for CVE-2026-42945 (NGINX Rift): runs version detection against the NGINX binary, package managers, and Dockerfile image tags, then parses nginx.conf and all included files for the heap-overflow trigger pattern (unnamed PCRE captures plus a query string in rewrite/if/set, followed by a second rewrite/if/set in the same scope). Use when auditing NGINX configurations for CVE-2026-42945, checking an NGINX version for the Rift vulnerability, or reviewing rewrite-module directives for the Rift exploit pattern.

IoC-based local scanner and safe-eradication runbook generator for npm/PyPI supply-chain worm campaigns (Mini Shai-Hulud 1st/2nd, S1ngularity, lottie-player). Detects OS persistence (LaunchAgent/systemd/Scheduled Tasks), IDE-hook implants (.claude/.vscode/.github/workflows), lockfile-pinned malicious versions, and known C2/Session-Protocol exfil traces. Orchestrates persistence-first eradication and dependency-ordered credential rotation so revocation does not trigger the `rm -rf ~/` retaliation payload. Standalone — no orchestrator, sibling skill, or shared protocol files required.

Reviews a codebase for technical debt across 10 categories with severity scoring (T1 Veil → T5 Calamity), then generates a single AI image-generation prompt that anthropomorphizes the accumulated debt as one sinister character. Two outputs per invocation: (1) a thorough debt review with path:line evidence, (2) a model-agnostic character prompt. Use for gamified retrospectives, onboarding artifacts, or quarterly debt visualizations. Don't use as a substitute for actionable architecture planning, automated dead-code removal, security scanning, or generic image generation.