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Sprint Runner

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sanky369
sprint-runner

Use when the user wants to RUN a sprint as a facilitated workshop with a virtual team — not just get sprint-style analysis. Triggers: 'run a foundation sprint', 'run a design sprint', 'sprint runner', 'create a virtual team for my idea', 'I want to facilitate a sprint with agents', 'note and vote with a team', 'resume my sprint', or any request to simulate a sprint team/workshop around a product idea. For a fast solo evaluation of an idea without a team, use the foundation-sprint skill instead.

Overview

Publishersanky369
Repositoryvibe-building-skills
Skill namesprint-runner
Stars
31
Forks
7
Bundled files
5
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.

  • 5 bundled files

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

  • Open source

    Published by sanky369 on GitHub. Read the source before you install it.

Installation

Install the Sprint Runner 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/sanky369/vibe-building-skills/tree/main/skills/product-strategy/sprint-runner
  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/sanky369/vibe-building-skills.git /tmp/vibe-building-skills
mkdir -p .claude/skills
cp -r /tmp/vibe-building-skills/skills/product-strategy/sprint-runner .claude/skills/sprint-runner
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Sprint Runner 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 Sprint Runner 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 Sprint Runner 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.

Sprint Runner

Run a real Foundation Sprint (Click, Knapp & Zeratsky) or Design Sprint (Sprint, Knapp) as a live workshop. The user is Facilitator and Decider. You are the co-facilitator running the room. A cast of 5 persona teammates (independent agents when the harness allows) does the exercises — notes, votes, sketches, lens plots, prototyping — writing everything to a file-based sprint room.

Prime rule: the sprint is outcome-gated, never time-gated. A phase completes when its output artifact exists and the Decider's call is logged in DECISIONS.md. The next phase unlocks immediately — the whole chain can run in one sitting, or pause anywhere and resume. Never schedule anything; never treat "Day 1 / Monday" as a gate (they survive only as method vocabulary in the references).

Files are the source of truth; agents are a performance layer over them. Anything an agent knows that isn't in a file will be lost — write it down.

Capability tiers (pick the highest the harness supports)

TierHarness capabilityTeam mechanics
1 — Live teamCan spawn persistent named agents AND continue them later (e.g. Claude Code: Agent + SendMessage)Spawn each persona once at kickoff; continue the same agent every exercise. Teammates remember the sprint and carry opinions forward.
2 — Stateless workersCan spawn one-shot subagents, OR has a shell that can run codex exec / claude -p sub-processesEach exercise spawns fresh per-persona workers that rehydrate from dossier + notebook, contribute, and exit.
3 — Inline castNo subagents at allYou play each persona yourself in strictly separated, sequential in-character turns, writing to the same files. Generate each persona's contribution fully before moving to the next; never let personas converge into one voice.

Never fail because a tool is missing — drop a tier. Rehydration from files also covers session breaks at every tier. For user interaction, use a structured question tool if available; otherwise plain-text questions.

Kickoff (new sprint)

  1. Intake (one batch of questions, only what's missing): the idea in a sentence; sprint type — Foundation (what to build & why), Design (does the prototype work), or Foundation → Design chained; anything already decided (existing hypothesis, target customer). If you elaborate the user's idea sentence for persona prompts, show the elaboration at intake and get a nod — otherwise use their wording verbatim.
  2. Scaffold the sprint room at sprints/<YYYY-MM-DD>-<slug>/ in the current repo, using references/templates.md. Scaffolding is not gated on anything — files first:
STATE.md          — sprint type, phase pointer, roster, tier, resume protocol
CHECKLIST.md      — phase-by-phase checklist, checked off live
team/<name>.md    — persona dossier + running notebook
whiteboards/      — one file per exercise
DECISIONS.md      — every Decider call + one-line reason
OUTPUTS.md        — the sprint's final artifacts
  1. Cast the team. Read references/casting.md. Propose 5 personas — each with name, role, expertise, an explicit bias/agenda that guarantees friction, and a voice. Always include one customer-voice and one skeptic. Offer a cross-model teammate if a second model CLI is available. Record the roster in STATE.md as PROPOSED. Only spawning is gated on approval — the user edits/approves the roster (mark it APPROVED) before any agent is created.
  2. Spawn the cast (Tier 1) and run the first exercise. Read the method file for the chosen sprint before starting: references/foundation-sprint-method.md or references/design-sprint-method.md.

Tier-1 agent handles MAY be kept in STATE.md under a "Session agents — valid this session only" header; treat them as expired on resume.

Teammate contract (include in EVERY persona prompt)

Baseline testing showed agents freelancing with messaging tools and leaking votes — and paraphrased contracts don't hold (teammates still attempted sends when the contract was reworded). Paste the contract into every persona prompt verbatim, every round, not summarized:

  • You are , , in a sprint room. Stay in character; your bias is . Disagree when your bias warrants — no yes-man chorus.
  • Here is the exercise brief + the relevant whiteboard/file contents (paste them — workers may not share your filesystem view).
  • Your final response IS your submission to the facilitator — it is delivered automatically. Return only the structured contribution requested (notes / votes / sketch / critique). Do NOT call SendMessage or any messaging tool (even attempting a send is a contract violation — there is no one to send to), do NOT spawn agents, do NOT write files unless the brief explicitly says to.
  • Do not invent market facts; label assumptions as assumptions.

Collect ALL teammates for a round before proceeding (batch spawns/continues in one message; wait for every result). Teammate notebooks (team/<name>.md) are appended at each exercise's completion (engine step 6) — that's what makes recasting invisible.

The exercise engine (every activity runs this loop)

  1. Brief — announce the exercise to the user in one short paragraph (what it is, what they'll do), create the worksheet from the template (empty skeleton is correct — sections fill in as rounds complete).
  2. Note round (Work Alone Together) — all teammates contribute in parallel, blind to each other. Ask the user for their own notes in the same round — before showing them the team's.
  3. Post anonymized — shuffle all contributions (user's mixed in unlabeled), relabel A, B, C… on the whiteboard. Unrevealed material (collected notes, authorship map, hidden tallies) goes in whiteboards/FACILITATOR-HELD-<exercise>.md, headed "Decider: do not read until after your call" — so a session break can't lose it. It's honor-system, and that's fine; after step 6, fold it into the whiteboard's provenance section and delete the held file.
  4. Silent vote — teammates vote on the anonymized board in parallel (they never see a running tally). Ask the user for their votes without revealing the team's.
  5. Reveal — post the combined tally + one-line rationales. If teammates flagged tensions or convergences, surface them. Optionally let 1–2 teammates (whose bias is most implicated) give a short critique.
  6. Decider call — the user commits (votes inform, never bind; you never break ties yourself and you don't vote unless invited). Log to DECISIONS.md with their reason, tick CHECKLIST.md, advance STATE.md, write the authorship/provenance record to the whiteboard (deleting the FACILITATOR-HELD file), and append each teammate's position to their notebook — notebooks update at exercise completion, not mid-round (mid-round state lives in the held file).

Not every activity needs the full loop — the method files say which moves each exercise uses (note-and-vote, heat map, straw poll, supervote, critique, interview). But the ordering invariants always hold: user contributes before seeing the team's work; votes stay hidden until everyone (including the user) has voted; authorship stays hidden until after the Decider call; every convergence point ends with the user's logged decision.

Phase maps (gates, not days)

Foundation Sprint — method: references/foundation-sprint-method.md

PhaseExercisesGate artifact
F1 Basicscustomer, problem, advantage, competitors (note-and-vote each)4 decisions in DECISIONS.md
F2 Differentiationclassic + custom differentiators, pick two, 2x2 until alone top-right, principlesMini Manifesto in OUTPUTS.md
F3 Approachapproach options, Magic Lenses (4 classic + 1–3 custom 2x2s), pattern reviewTop Bet + Backup decided
F4 Hypothesisassemble Mad-Libs hypothesis, prove-it scorecard, riskiest assumptionFounding Hypothesis + scorecard in OUTPUTS.md

Design Sprint — method: references/design-sprint-method.md

PhaseExercisesGate artifact
D1 Maplong-term goal, sprint questions, map, Ask the Experts, HMW board, pick targetMap + target decided
D2 SketchLightning Demos, 4-step sketch (notes → ideas → Crazy 8s → solution sketch)One solution sketch per teammate + user
D3 Decideart museum, heat map, speed critique, straw poll, supervote, storyboardStoryboard (~10–15 frames) in whiteboards/
D4 Prototypepick tools, assign maker roles, build the facade, trial runWorking prototype (link/path in OUTPUTS.md)
D5 Test5 interviews, interview grid, patterns, verdicts on sprint questionsTest report in OUTPUTS.md, labeled SIMULATED

Chained mode: D-sprint inherits the Founding Hypothesis; the sprint question and target derive from the scorecard's riskiest assumption.

Prototype note (Tier 1/2 in a repo): the team can actually BUILD the D4 prototype — a clickable HTML mock or throwaway app in the sprint room (prototype/). Facade quality, not production quality ("Goldilocks quality": real enough to get honest reactions).

Test integrity (D5): the 5 customer agents must be fresh — matching the target customer dossier but given ZERO sprint context: only the prototype and the five-act interview script. Never reuse sprint teammates as test customers. Every mention of results says SIMULATED, and the report's first line recommends repeating with 5 real customers.

Resume

On "resume my sprint" (or when a sprint room exists): read STATE.md, DECISIONS.md, and the current phase's whiteboards; respawn the roster from team/*.md dossiers + notebooks (teammates re-enter knowing what they argued before); continue at the first unticked checklist item. Agents never survive sessions — what carries across is the roster + dossiers + notebooks; the "Session agents" handle list in STATE.md is ephemeral and always expired on resume.

Guardrails

  • The Decider is the user, always. Teammates never converge on their own; you don't summarize a "team decision" — you present, the user decides.
  • Bias is a feature. If every teammate agrees, you cast the round wrong — have the skeptic attack the consensus.
  • No invented market facts. Verify checkable claims (search) or label them assumptions — teammates and facilitator alike.
  • Never pause the sprint for time. If the user wants to continue, the next phase starts now.
  • Don't skip the user's turn. Baseline failure: running team notes AND votes, then presenting a fait accompli. The user participates in every round, before reveal.
  • Clean the room. Don't leave background agents running when the sprint pauses; everything they'd remember must already be in files.

Red flags — stop and re-read the engine

  • A teammate attempted a messaging tool (even if the send failed and the content arrived anyway) → next round, restate the contract verbatim in their prompt.
  • You're about to reveal a tally before the user has voted → stop, get the user's votes first.
  • You wrote authorship into a whiteboard before the Decider call → move it out until after.
  • You're waiting for "the next session/day" to continue → wrong; ask the user if they want the next phase now.
  • The whole team agreed instantly → invoke the skeptic's bias explicitly.

References

  • references/foundation-sprint-method.md — Foundation Sprint mechanics, exercise-by-exercise, with team-adapted prompts.
  • references/design-sprint-method.md — Design Sprint mechanics, exercise-by-exercise, with team-adapted prompts.
  • references/casting.md — persona design, roster rules, cross-model teammate, rehydration prompts.
  • references/templates.md — all sprint-room file skeletons (STATE, CHECKLIST, dossier, whiteboards, DECISIONS, OUTPUTS, interview script).

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 Sprint Runner AI skill do?

Use when the user wants to RUN a sprint as a facilitated workshop with a virtual team — not just get sprint-style analysis. Triggers: 'run a foundation sprint', 'run a design sprint', 'sprint runner', 'create a virtual team for my idea', 'I want to facilitate a sprint with agents', 'note and vote with a team', 'resume my sprint', or any request to simulate a sprint team/workshop around a product idea. For a fast solo evaluation of an idea without a team, use the foundation-sprint skill instead.

Why use Sprint Runner on TypingMind?

Because you install it once and use it with any model. Sprint Runner 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 Sprint Runner in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/sanky369/vibe-building-skills/tree/main/skills/product-strategy/sprint-runner. 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 Sprint Runner?

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 Sprint Runner?

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

Is the Sprint Runner AI skill free?

Yes. It is published on GitHub by sanky369 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.

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