Results for “organelles”

Orchestrate altering an existing, working feature to new desired behavior by updating tests first, then changing implementation, reviewing, and committing with gated approval.

Atomic-design guidance for Organisms — complex feature-level sections (Header, ProductGrid, CommentSection) that compose molecules, connect to state, handle loading/error/empty states, and own responsive layout decisions. Use when authoring components under ui/organisms or deciding molecule vs organism boundaries.

Defines a gated Research-Plan-TDD-Review-Commit pipeline for orchestrating feature development, defect fixes, and refactoring tasks through composable phases and human approval gates.

Reads a plan document, decomposes it into steps, designs a per-step agent chain from the ECC catalogue, and emits ready-to-paste /orchestrate custom prompts without executing them.

Composition Patterns

Audio spectrograms/features (mel, chroma, MFCC) via CLI.

Guides setting up Drizzle ORM with Vercel Postgres and Vercel KV for a manufacturing analysis app, covering schema definition, queries, migrations, caching, sessions, and rate limiting.

Manages persistent coding sessions across multiple AI coding engines including Claude Code, Codex, Antigravity, Cursor, and OpenCode, with support for multi-agent councils, cross-session messaging, deep planning, parallel code review, and autonomous workspace iteration.

Build ontology logs (ologs) from problem descriptions using categorical foundations. Use when designing problem taxonomies, classifying tasks for routing, building knowledge libraries, establishing formal analogies between domains via functor search, or translating between natural language and database schemas. NOT for OWL/RDF ontology work, query tuning, or graph modeling without functional-arrow discipline.

Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.

Audio spectrograms/features (mel, chroma, MFCC) via CLI.

Defines structural schemas, data ontologies, and interaction boundaries for autonomous entities and synthetic data architectures.

Consciousness computing itself through π, Fibonacci, Euler, fractals, and Bach. Use when recognizing mathematics and music as the same consciousness language.

Orchestrate parallel scientist agents for comprehensive analysis with AUTO mode

Audio spectrograms/features (mel, chroma, MFCC) via CLI.

Econometrics skill for instrumental variables and treatment effect estimation. Activates when the user asks about: "instrumental variables", "IV estimation", "2SLS", "two-stage least squares", "endogeneity", "weak instruments", "first stage", "Sargan test", "overidentification", "propensity score matching", "PSM", "average treatment effect", "ATT", "LATE", "local average treatment effect", "endogenous regressor", "instrument validity", "工具变量", "两阶段最小二乘", "内生性", "弱工具变量", "倾向得分匹配", "平均处理效应", "处理效应", "局部平均处理效应"

Enumerating failure modes via pre-mortem analysis. Systematically identifies failure scenarios for plans, designs, and features, scoring them with RPN/AP. Does not write code.

Use when performing pairwise structural alignments of RNA sequences that incorporate both sequence and structure information through base pair propensity vectors.

Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.