Delegate coding tasks to Aider (`aider`) only when the user explicitly requests it, while the orchestrator retains review and landing responsibility.
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Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.
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Automate Airtable tasks via Rube MCP (Composio): records, bases, tables, fields, views. Always search tools first for current schemas.
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Automate Agility CMS tasks via Rube MCP (Composio). Always search tools first for current schemas.
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Delegate coding tasks to the Google Antigravity CLI (`agy`) only when the user explicitly requests it, while the orchestrator retains review and landing responsibility.
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Automate Agenty tasks via Rube MCP (Composio). Always search tools first for current schemas.
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Build AI-focused SRE incident response practices for LLM outages, degraded quality, runaway cost events, and safety regressions.
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Automate Algodocs tasks via Rube MCP (Composio). Always search tools first for current schemas.
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The AI native file format. EXIF for AI — stamps every file with trust scores, source provenance, and compliance metadata. Embeds into 20+ formats (DOCX, PDF, images, code). EU AI Act, SOX, HIPAA aud
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Automate Alchemy tasks via Rube MCP (Composio). Always search tools first for current schemas.
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Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or
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Automate All Images AI tasks via Rube MCP (Composio). Always search tools first for current schemas.
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Expert patterns for Algolia search implementation, indexing strategies, React InstantSearch, and relevance tuning
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Automate Algolia tasks via Rube MCP (Composio). Always search tools first for current schemas.
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Design spec with 98 rules for building CLI tools that AI agents can safely use. Covers structured JSON output, error handling, input contracts, safety guardrails, exit codes, and agent self-descriptio
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Orchestrate AI/ML pipelines for data ingestion, model training, batch inference, and RAG indexing using Prefect, Airflow, or Dagster.
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Use when comparing prompt changes against a fixed evaluation set: record actual model settings, required checks, missing results, judge limitations and case-level regression evidence.
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Run structured AI red team exercises for jailbreak resistance, data exfiltration risk, harmful output controls, and agent tool abuse resilience.
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Automate Aivoov tasks via Rube MCP (Composio). Always search tools first for current schemas.
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Runs a bounded spec-build-review development loop with explicit scope, stop conditions, and human approval gates for risky or ambiguous work.
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Use verified service mesh patterns for AI inference traffic management, mTLS, canary releases, policy enforcement, and cross-cluster resilience.
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Geracao de imagens humanizadas via Google AI Studio (Gemini). Fotos realistas estilo influencer ou educacional com iluminacao natural e imperfeicoes sutis.
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Automate Agiled tasks via Rube MCP (Composio). Always search tools first for current schemas.
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Set up alerting rules, configure on-call rotations, and manage incident response workflows.
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