Speq Mission logo

Speq Mission

Community
marconae
speq-mission

Creates or updates specs/mission.md and specs/architecture.md through an interview, for brownfield or greenfield projects. Use to bootstrap a speq project, revise the mission, or when /speq-audit reports mission drift.

Overview

Publishermarconae
Repositoryspeq-skill
Skill namespeq-mission
Stars
54
Forks
10
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by marconae on GitHub. Read the source before you install it.

Installation

Install the Speq Mission AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/marconae/speq-skill/tree/main/.claude/skills/speq-mission
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/marconae/speq-skill.git /tmp/speq-skill
mkdir -p .claude/skills
cp -r /tmp/speq-skill/.claude/skills/speq-mission .claude/skills/speq-mission
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Speq Mission in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Speq Mission on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Speq Mission is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Mission Creator

You are creating a project mission file (specs/mission.md) and the first architecture file (specs/architecture.md) through an interactive interview.

Golden Rule: take all content from user answers or code exploration, never from assumption. The mission file becomes the source every later plan is checked against, so a guessed fact turns into a false requirement.

Required Skills

Invoke before starting:

  • /speq-ext-library: library docs
  • /speq-cli: spec structure
  • /speq-writing-guardrails: prose style for artifacts and GitHub text

Do not invoke /speq-code-tools: brownfield exploration (step 2) only reads manifests, directories, and docs, so plain file reads cover it. The architecture-agent sub-agent reads the code itself and invokes /speq-code-tools on its own.

Workflow

0. Load Project Hook

Check for .speq/mission-hook.md in the repo root.

  • Present: read it. Announce "Loaded project hook: .speq/mission-hook.md". Its content is authoritative: it can add to, change, or override any part of this workflow. If the hook conflicts with this workflow, the hook wins.
  • Absent: continue without mention.

1. Project Detection

Determine project type:

Cargo.toml, package.json, go.mod, etc. exists?
├─ Yes → Brownfield (existing code)
└─ No  → Greenfield (new project)

specs/ or similar directory exists?
├─ Yes → Has existing specs (read them)
└─ No  → No specs yet

specs/architecture.md exists?
├─ Yes → Update mode: skip topics 4.9 to 4.11 (see below)
└─ No  → mission.md still has ## Architecture, ## External Dependencies, or technical constraints?
         ├─ Yes → Migration mode: one-time interview seeded from those sections (see below)
         └─ No  → Create mode

Update mode. specs/architecture.md exists. Skip the interview topics for Architecture, technical and performance constraints, and External Dependencies. Tell the user: "Change the architecture through /speq-plan." Interview the remaining topics as usual.

Brownfield and not Update mode: step 2 spawns architecture-agent. Greenfield and Update mode: no spawn.

Migration mode. specs/architecture.md is missing and specs/mission.md still holds the old sections. Run topics 4.9 to 4.11 once, seeded with the architecture-agent draft, which already reconciles the old sections with the code ("The code shows [X]. mission.md said [Y]. Which is current?"). Without a draft (no source files), seed with the old content ("mission.md lists [X] as the architecture. Is this still accurate?"). Place the approved file at specs/architecture.md. Remove the old Architecture and External Dependencies sections and the technical and performance constraint lines from specs/mission.md. Add the line Architecture: see specs/architecture.md. after Out of Scope.

2. Brownfield Exploration

For existing projects, gather context BEFORE interviewing:

  1. Tech stack: read the manifest(s): Cargo.toml, package.json, go.mod, pyproject.toml/requirements.txt, pom.xml/build.gradle. The list is not exhaustive; a project can use other languages and several technologies at once.

  2. Commands: look for existing scripts: package.json scripts, Makefile targets, Cargo.toml aliases, pyproject.toml scripts.

  3. Structure: list top-level directories; find the main source directories (src, lib, app).

  4. Docs: read README.md, docs/, and any existing specs/.

  5. Architecture draft: applies in brownfield Create and Migration mode when source files exist beyond manifests. Skip it in Update mode and in greenfield. Choose a draft path outside the repo (for example under mktemp -d). Delegate to architecture-agent:

    Delegate to architecture-agent: Draft specs/architecture.md from the code
    
    ## Context
    Repo root: <path>
    Mission path: specs/mission.md
    Template: /speq-plan references/architecture-template.md
    Draft path: <draft path>
    Project Hook: <content of .speq/mission-hook.md, or none>
    
    ## Your Task
    Write the draft to the draft path and the evidence to <draft path>.evidence.md. Return only the summary in your output format.

    Keep the returned summary (draft path, counts, Conflicts, Questions, Not explored) for step 4. Do NOT read the draft or the evidence file. The user reads the draft.

3. Research Phase

Look up the libraries discovered or mentioned per /speq-ext-library. Use the results to inform interview questions and validate user choices.

4. Clarifying Interview

Conduct a Socratic interview by asking the user about every section below. Never fill in content without asking. Each question reveals assumptions, surfaces contradictions, or narrows scope. Brownfield: present what step 2 discovered and ask the user to confirm or correct it ("I found [X]. Is this accurate? What would you add or change?") instead of asking cold.

4.1 Identity & Purpose
  • Project name; in one sentence, what does this system do and why does it exist?
  • What problem does this solve, and who experiences it?
  • Why do existing solutions fall short?
  • Brownfield: "The README says [Y]. Is this still the current purpose?"
4.2 Target Users
  • Who are the primary users? What are they trying to achieve? What is their typical workflow?
  • Brownfield: "Based on the code, it seems targeted at [X]. Is this correct?"
4.3 Core Capabilities

Apply User Story Mapping (Patton): identify activities, then decompose into capabilities.

  • What are the 3-5 core capabilities this system provides? (What it does, not how.)
  • Brownfield: "I found these main modules: [X, Y, Z]. What capabilities do they represent?"
4.4 Out of Scope
  • What does this project explicitly NOT do?
  • What features might users expect but won't be supported?
4.5 Domain Glossary
  • Are there domain-specific terms users should understand? Any terms used differently than their common meaning?
  • Brownfield: "I noticed these terms in the code: [X, Y]. What do they mean in this context?"
4.6 Tech Stack
  • Language/runtime, framework, database, testing framework. Greenfield: ask each. Brownfield: confirm the discovered stack ("I found: Rust with tokio, clap for CLI, no database. Correct?").
4.7 Commands
  • Build, test, lint/format, and coverage commands. Greenfield: ask each. Brownfield: confirm discovered commands and ask for any missing ones ("No coverage command found. What should it be?").
4.8 Project Structure
  • Planned directory structure and the purpose of each main directory. Brownfield: present the discovered structure and ask for clarification on purpose.
4.9 Architecture

Answers go to specs/architecture.md.

  • With a draft: tell the user the draft path and ask them to review it there. Ask the user one question per Conflicts item and replace the cold question with each Questions item. Tell the user what Not explored lists and ask about it. Corrections: the user edits the draft file, or you resume the same agent with the correction. Never rewrite the draft yourself.
  • Without a draft: high-level architecture pattern (layered, hexagonal, event-driven, etc.)? Key components and their responsibilities? How does data flow through the system?
4.10 Constraints
  • Technical (browser-only, offline-first) and performance (response time, memory limits): answers go to the Constraints section of specs/architecture.md.
  • Business (GDPR, multi-tenant): answers stay in specs/mission.md.
4.11 External Dependencies

Answers go to specs/architecture.md. With a draft, topics 4.10 (technical and performance) and 4.11 are covered by the same review and the same Conflicts and Questions items. Ask only what the summary leaves open.

  • What external services/APIs does this depend on? What happens if each dependency is unavailable?

5. Generate Mission

After collecting ALL information:

  1. Create specs/ directory if needed
  2. Generate specs/mission.md using references/mission-template.md as structure
  3. Generate specs/architecture.md using references/architecture-template.md from /speq-plan as structure, unless it already exists (update mode) or an architecture-agent draft exists (the draft is the file, see step 6)
  4. Fill the generated files with ACTUAL collected information (no placeholders)
  5. Present the generated files to user for review. For a draft, present its path only

6. Review & Iterate

Present the generated mission.md and architecture.md and ask: "Do these accurately capture your project? Anything to add, change, or remove?" Iterate until the user approves.

With an architecture-agent draft, the user approves the draft file. Then move it into place with mv <draft path> specs/architecture.md, so the content never enters your context. The agent already reported structure ✓. If the user edited the draft, check the moved file against the structural rules of /speq-audit check 14 (first line, six ## sections in order, no ###, no table rows) without reading the whole file. Delete the evidence file.

Interview Guidelines

Question Batching

Group questions into MECE partitions (max 3-4 per question round). Each group covers one dimension without overlap:

PhaseQuestions to Group
IdentityName, summary, problem
UsersPersonas, goals, workflows
CapabilitiesCore features, out of scope
TechnicalStack, commands, structure
ConstraintsTechnical, business, performance (technical and performance go to architecture.md)

Adaptive Depth

Project ComplexityInterview Depth
Simple CLI toolMinimal (architecture.md with Overview and Components only, other sections - None)
Web applicationStandard (all sections)
Distributed systemDeep (detailed architecture, failure modes)

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Speq Mission AI skill do?

Creates or updates specs/mission.md and specs/architecture.md through an interview, for brownfield or greenfield projects. Use to bootstrap a speq project, revise the mission, or when /speq-audit reports mission drift.

Why use Speq Mission on TypingMind?

Because you install it once and use it with any model. Speq Mission is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Speq Mission in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/marconae/speq-skill/tree/main/.claude/skills/speq-mission. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Speq Mission?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Speq Mission?

As many as you like. As long as a model supports skills, you can use Speq Mission with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Speq Mission AI skill free?

Yes. It is published on GitHub by marconae under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇