deep-research
Multi-model deep research with comparative assessment (OpenAI + Perplexity + Gemini). Queries 3 deep research providers in parallel and produces a comparative synthesis.
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Multi-model deep research with comparative assessment (OpenAI + Perplexity + Gemini). Queries 3 deep research providers in parallel and produces a comparative synthesis.
Create, generate, or write Dockerfiles and multi-stage Docker images. Containerize apps.
Build and maintain interactive Node.js/Bun CLIs with Clack (`@clack/prompts` and `@clack/core`). Use when an AI agent needs to design prompt flows, implement cancellation-safe input handling, add spinners/log/note UX, apply Clack best practices, or generate runnable examples aligned with official Clack docs.
End-to-end processing pipeline that chains the full 6R sequence: seed, reduce, reflect, reweave, verify. Runs per-item or in batch mode. Three depth levels control thoroughness vs. speed. The orchestrator for all processing skills. Triggers on: "pipeline", "process", "full pipeline", "6R"
Autonomous framework engineer — reads VibeHQ post-run analysis, understands root causes of multi-agent coordination failures, then designs and implements real code changes (new features, refactors, architectural improvements) to fix them. Not parameter tuning — actual engineering.
Expert patterns for Firebase (Auth, Firestore, Cloud Functions) using modern Swift Concurrency (Actors, Async/Await) and Observation (@Observable).
Use for Unity Editor automation through UniCli in projects where `unicli` is available: running `unicli exec`/`unicli eval`, editing files under `Assets/` or `Packages/`, compiling Unity code, running EditMode/PlayMode tests, and creating or modifying GameObjects, scenes, prefabs, assets, packages, build settings, or project settings. Follow required safeguards such as `AssetDatabase.Import` after file changes and `Compile` verification after C# edits.
Use for Unity Editor automation through UniCli in projects where `unicli` is available: running `unicli exec`/`unicli eval`, editing files under `Assets/` or `Packages/`, compiling Unity code, running EditMode/PlayMode tests, and creating or modifying GameObjects, scenes, prefabs, assets, packages, build settings, or project settings. Follow required safeguards such as `AssetDatabase.Import` after file changes and `Compile` verification after C# edits.
Design binary pass/fail LLM-as-Judge evaluators. Structured prompt engineering for evaluation: criteria definition, rubric construction, few-shot calibration, and bias mitigation. Produces a ready-to-deploy judge prompt with scoring instructions. Triggers on: "judge prompt", "llm judge", "evaluator prompt", "scoring prompt", "grading rubric"
Sample multiple paths, select most consistent - +17.9% on GSM8K
Calibrate LLM-as-Judge evaluators against human labels. Computes TPR, TNR, precision, recall, F1, and Cohen's kappa. Detects systematic biases and recommends prompt corrections. Produces a calibration report with confidence intervals. Triggers on: "validate evaluator", "calibrate judge", "judge accuracy", "evaluator validation", "judge metrics"
Extract atomic insights from raw source material. Takes articles, transcripts, meeting notes, or any unstructured input and produces structured claims with provenance metadata. The foundational extraction step of the 6R processing pipeline. Triggers on: "extract", "reduce", "distill", "summarize source"
Guides dependency updates in `kaizen-design-system`
Autonomous iterative improvement loop. Agent modifies code, verifies against metrics, keeps improvements or reverts failures, and repeats. Uses git as memory — each change is committed, measured, and kept or discarded. Runs until a target metric is hit or max iterations reached. Triggers on: "autoresearch", "auto improve", "iterative improvement", "autonomous loop", "hill climb"
Daily consolidation dashboard — reads outputs from all routines (morning, linear, github, community, strategy, meetings, metrics) and generates a unified HTML dashboard. Trigger when user says 'dashboard', 'generate dashboard', 'overview', 'consolidation', or 'general panel'.
Escreve SQL otimizado para o stack Evolution (PostgreSQL primário) com boas práticas. Use quando precisar traduzir uma necessidade de dados em SQL, construir uma query com múltiplas CTEs, joins e agregações, otimizar uma query contra tabelas grandes, ou obter sintaxe específica para consultas no banco do Evo CRM, Evo AI, ou qualquer serviço do stack Evolution. Dialetos secundários disponíveis: Snowflake, BigQuery, MySQL, DuckDB.
Attach to a user's already-open Chromium-family browser for live inspection and light interaction after explicit local approval
Prepare a Kora release PR. Bumps Rust crate versions (kora-lib + kora-cli), optionally bumps the TypeScript SDK, generates CHANGELOG, and opens a PR against main. Use when the user says 'prepare a release', 'cut a release', or 'release version X.Y.Z'.
Create a new automated routine (ADW) for the scheduler. Guides the user through defining what the routine does, the type (AI or systematic), the schedule, and generates the Python script + Makefile target. Use when the user says 'create a routine', 'add a routine', 'automate this', 'schedule this task', 'new ADW', 'I want this to run automatically', or wants to turn any manual task into a scheduled automation.