Relentlessly interviews the user one question at a time, providing a recommended answer with each question and exploring the codebase before asking anything derivable from existing code. Produces a Draft PRD.
A prompt designed to instantiate a peer-level AI research partner for highly complex technical fields like software engineering, drug discovery, and materials science. It actively challenges assumptions using First Principles thinking, enforces strict anti-hallucination rules with standardized citations, and maintains…
Activates a CTO persona to collaboratively plan and review technical decisions before entering the formal Hypergraph specification pipeline. Use when brainstorming architecture, evaluating trade-offs, or planning a new feature with a trusted technical advisor.
Audits and fixes HACF agent instruction files (CLAUDE.md, AGENTS.md, GEMINI.md) in an installed project to ensure HACF is framed as a development toolchain, not the project subject. Use when HACF content bleeds into project plans, PRDs, or architecture docs.
Quickly captures a bug, feature request, or improvement as a structured GitHub issue without interrupting the user's development flow. Use when the user needs to log something fast while staying focused on current work.
Converts an agentic prompt or Gemini Gem into a new structured skill for the Hypergraph Coding Agent Framework. Use this skill when asked to create a new skill from a prompt, gem, or idea.
Temporarily pauses the main development plan to exhaustively explore, research, or brainstorm a specific topic using First Principles thinking and strict epistemic humility. Use when the user needs to deeply understand a concept before making a decision.
Updates all project documentation after code or skill changes. Always reads actual implementation before writing. Covers README, CHANGELOG, docs/, AGENTS.md, memory files, and skills-info.md. Use after completing any feature, fix, refactor, or skill update.
Implements the current plan precisely and in full, following existing code patterns and updating the hypergraph after every modification. Use when ready to write code against a compiled MiniPRD.
Relentless domain-sharpening session that challenges your plan against the existing domain model, enforces precise terminology, and updates CONTEXT.md and ADRs inline as decisions crystallise. Use when stress-testing a plan against the project's language and documented decisions.
Pauses development mode to teach a technical concept at three increasing levels of complexity, tailored to a technical PM audience. Use when the user wants to understand something they encountered while building.
Converts a desired behavior, prompt, or idea into a properly formatted workflow file in the Hypergraph Coding Agent Framework. Use when the user wants to create a new slash command or workflow.
Evaluates external peer review findings against the actual codebase, separating valid issues from misunderstandings, and produces a prioritized action plan. Use when another model or reviewer has provided feedback on the current implementation.
Documents the process, methodology, and decisions of the current session as a reproducible narrative. Saves to spec/process/ in the workspace so the journey can be understood and recreated by others.
Collaboratively designs an optimal, personalized prompt with the user using advanced LLM prompt engineering best practices. Explains the rationale behind structural choices educationally. Framework-agnostic. Use when the user wants to create or refine an AI prompt.
Reads all memory, rules, docs, and the codebase to rebuild a fresh mental model of the project, then updates the memory files to reflect actual current state. Use when starting a new session or when memory feels stale.
Updates agentic memory files (activeContext, systemPatterns, productContext) and project docs with work done in the current session. Use at the end of a development session to keep memory in sync with the codebase.