release-note-generator
Generates release notes from git commits/diffs and outputs one Chinese MD file. Invoke when user asks for release notes bounded by previous non-alpha version.
Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Generates release notes from git commits/diffs and outputs one Chinese MD file. Invoke when user asks for release notes bounded by previous non-alpha version.
Draft a design/implementation plan for a change, pressure-test it with /dual-review (design mode), iterate with the user, then commit it under plans/. Use when the user wants to plan something before building it - "plan X", "let's plan the Y refactor", "/my-plan", "work up a plan for Z and review it". This is the planning dance for this repo - it produces a tracked plan doc, not code.
Plan publishable constraint-based metabolic modelling studies when the user has a broad biological or metabolic-engineering topic but no concrete dataset, organism, model, or hypothesis. Selects feasible BiGG/COBRA models, objectives, perturbations, analyses, metrics, figures, and risk controls before FBA code is generated.
Organizes files in your project directory
Create or update draft GitHub release notes, or output organized Markdown when draft creation is unavailable. Use for release notes, draft releases, release PR checks, npm staged publishing checks, and optional highlights.
Guides collaborative requirements discovery before implementation. Creates task directory, seeds PRD, asks high-value questions one at a time, researches technical choices, and converges on MVP scope. Use when requirements are unclear, there are multiple valid approaches, or the user describes a new feature or complex task.
Reach into past AI conversation history through the `trellis mem` CLI. Use whenever the user asks 'how did we solve X last time', 'have we discussed this before', 'what was the decision on X', 'remind me what we did in this task', '上次怎么解的', '之前讨论过吗', '想起一段对话', or when starting a brainstorm that overlaps prior work, debugging a familiar bug, continuing a task across sessions, or doing a finish-work review. Returns raw past dialogue; decide for the moment whether to update spec, append to task notes, quote inline in the answer, or just internalize.
Suggests relevant cron routines based on user context, goals, and observed patterns
Use when you have a spec or requirements for a multi-step task, before touching code
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.