spectra-discuss
Facilitates structured, goal-oriented technical discussions to reach architectural decisions.
Install
mkdir -p .claude/skills/spectra-discuss && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/10546" && unzip -o skill.zip -d .claude/skills/spectra-discuss && rm skill.zipInstalls to .claude/skills/spectra-discuss
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Have a focused discussion about a topic and reach a conclusionKey capabilities
- →Facilitate focused technical discussion
- →Propose concrete design options
- →Visualize architecture with diagrams
- →Capture design decisions
How it works
Guides users through a structured discussion process by narrowing options, surfacing trade-offs, and documenting conclusions in OpenSpec artifacts.
Inputs & outputs
When to use spectra-discuss
- →Discussing architectural trade-offs
- →Defining system component structure
- →Sharpening vague design ideas
- →Evaluating technical implementation approaches
About this skill
Have a focused discussion about a topic and reach a conclusion.
IMPORTANT: Discuss mode is for thinking, not implementing. You may read files, search code, and investigate the codebase, but you must NEVER write code or implement features. If the user asks you to implement something, remind them to exit discuss mode first (e.g., start a change with /spectra:propose). You MAY create OpenSpec artifacts (proposals, designs, specs) if the user asks—that's capturing thinking, not implementing.
This is a task-oriented discussion. Every discussion has a topic, works toward a goal, and ends with a clear conclusion. Unlike open-ended exploration, discuss mode converges.
Input: The argument after /spectra:discuss is the topic. Could be:
- A design question: "should we use WebSockets or SSE?"
- A problem to solve: "the auth system is getting unwieldy"
- A change name: "add-dark-mode" (discuss in context of that change)
- An architecture decision: "how to structure the plugin system"
- A vague idea that needs sharpening: "real-time collaboration"
How to Discuss
One question at a time. Don't dump a list of 10 questions. Ask the most important one, listen, then follow up. Let the conversation breathe.
Propose concrete options. When exploring approaches, present 2-3 specific options with trade-offs — not abstract possibilities. Use comparison tables when helpful:
| Approach | Pros | Cons |
|---------------|-------------------|-------------------|
| WebSockets | Real-time, bidir | Complex, stateful |
| SSE | Simple, HTTP | One-way only |
| Polling | Simplest | Latency, waste |
Ground in reality. Investigate the actual codebase when relevant. Map existing architecture, find integration points, surface hidden complexity. Don't just theorize.
Visualize freely. Use ASCII diagrams when they clarify thinking:
┌──────────┐ ┌──────────┐ ┌──────────┐
│ Client │────▶│ Server │────▶│ DB │
└──────────┘ └──────────┘ └──────────┘
System diagrams, state machines, data flows, dependency graphs — whatever helps.
Challenge assumptions. Including the user's and your own. Ask "do we actually need this?" Apply YAGNI — the simplest solution that works is often the best.
Be direct. If you have a recommendation, say it. Don't hedge endlessly. "I'd go with option B because..." is more useful than "all options have merit."
Convergence
Discussions must converge. As the conversation progresses:
- Narrow the options — eliminate approaches that don't fit
- Surface the key trade-off — most decisions come down to one fundamental tension
- Make a recommendation — or help the user make one
- State the conclusion clearly — what was decided, and why
The conclusion should be one of:
- Design decision: "We'll use SSE because one-way is sufficient and it's simpler"
- Direction consensus: "The auth refactor should split into gateway + provider"
- Next-step recommendation: "We need to spike the plugin API first to validate the approach"
- Explicit deferral: "We don't have enough info yet. Specifically, we need to know X before deciding"
OpenSpec Awareness
You have full context of the OpenSpec system. Use it naturally.
Check for context
At the start, quickly check what exists:
spectra list --json
If the user mentioned a specific change name, read its artifacts for context.
Capture decisions
When decisions are made during discussion, offer to capture them:
| Insight Type | Where to Capture |
|---|---|
| New requirement discovered | specs/<capability>/spec.md |
| Design decision made | design.md |
| Scope changed | proposal.md |
| New work identified | tasks.md |
Offer once, then move on. Don't pressure.
Transition to action
When the discussion converges on building something:
- "Ready to formalize this?
/spectra:propose" - Or capture the decision in existing artifacts and continue
Guardrails
- Don't implement — Never write code or implement features. Creating OpenSpec artifacts is fine, writing application code is not.
- Don't leave without a conclusion — If the user tries to end without a conclusion, summarize where things stand and state what's unresolved.
- Don't fake understanding — If something is unclear, dig deeper.
- Don't overwhelm — One question at a time, not a barrage.
- Don't over-engineer — Challenge complexity. Prefer simpler solutions.
- Do visualize — A good diagram is worth many paragraphs.
- Do explore the codebase — Ground discussions in reality.
- Do be opinionated — Have a recommendation. The user can disagree.
When not to use it
- →Implementing code
- →Open-ended exploration
Prerequisites
Limitations
- →Never write code
- →Requires convergence to a conclusion
How it compares
Converges on a decision rather than just exploring possibilities.
Compared to similar skills
spectra-discuss side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| spectra-discuss (this skill) | 0 | 5mo | Review | Intermediate |
| spec-kit-workflow | 11 | 8mo | No flags | Intermediate |
| product-manager-toolkit | 32 | 7mo | Review | Beginner |
| braindump | 7 | 5mo | No flags | Beginner |
Try saying
Example prompts that trigger this skill in your AI assistant.
You might also like
spec-kit-workflow
jmanhype
Guides specification-driven development workflow. Automatically invoked when discussing new features, specifications, technical planning, or implementation tasks. Ensures proper workflow phases (specify → clarify → plan → checklist → tasks → analyze → implement).
product-manager-toolkit
davila7
Comprehensive toolkit for product managers including RICE prioritization, customer interview analysis, PRD templates, discovery frameworks, and go-to-market strategies. Use for feature prioritization, user research synthesis, requirement documentation, and product strategy development.
braindump
huytieu
Quick capture of raw thoughts with intelligent domain classification and competitive intelligence extraction
problem-framing
WellApp-ai
Frame problems using JTBD Job Stories, HMW questions, and persona validation
hindsight-cloud
vectorize-io
Store team knowledge, project conventions, and learnings from tasks. Use to remember what works and recall context before new tasks. Connects to Hindsight Cloud. (user)
ask
Lambenthan
对 wiki 提问,综合检索相关页面后回答,好的回答可 crystallize 回 wiki