Browse Skills

Content Pipeline extracts patterns and anatomy from up to five URLs so you can reverse-engineer content strategies. Use it to analyze articles, X threads, newsletters, YouTube descriptions, or LinkedIn posts and generate a structural blueprint, psychological playbook, and interview questions for recreating similar content.

Context Detection automatically identifies whether the current task is development or knowledge work, so agent workflows can tailor research, build, and review behavior. It checks explicit overrides, prompt indicators, and project structure before returning a confidence-scored context.

Copilot Provider integrates GitHub Copilot CLI as an optional zero-cost provider in the Claude Octopus multi-LLM ecosystem, using programmatic mode for research and exploration. Use it to supplement other providers with Copilot responses, with graceful degradation if unavailable.

Cost Projections estimates remaining workflow costs from per-phase averages and warns when projections exceed a budget ceiling. Use it when you need to track and forecast spend across multi-step AI workflows.

Council orchestrates a configurable council of multiple LLMs with personas, budget caps, synthesis, veto gates, and optional implementation handoff. Use it when you need adversarial review, decision support, or implementation planning across models.

Decision Support helps agents present options with trade-offs for informed decision-making when choosing between approaches.

Flow Define orchestrates multiple AI providers to scope requirements, capture user vision, and align stakeholders during the Double Diamond Define phase. Use it after discovery to turn research into a shared definition.

Flow Deliver coordinates multiple AI providers to validate, score, and review code or documents during the Double Diamond delivery phase. Use it to get multi-model quality, security, and completeness checks before finalizing deliverables.

Flow Develop orchestrates multiple external AI providers during the Double Diamond Develop phase, detecting whether the task is dev or knowledge work and injecting domain-specific quality guidance before implementation.

Flow Discover coordinates multi-AI research across available external providers during the Double Diamond Discover phase. Use it to gather divergent perspectives from multiple AI tools before synthesis.

Flow Parallel decomposes large changes, migrations, or multi-issue fixes into independent work packages and executes them in parallel with quality gates. Use it when a compound task can be broken into non-overlapping parts for faster completion.

Flow Spec orchestrates multi-AI research and consensus using Claude Code and external providers to generate structured natural-language specifications (NLSpec) for software projects. Use it when you need a specification grounded in multi-model synthesis, edge cases, and constraint interactions.