shape-up-analysis_skill

This skill analyzes Shape Up pitches against the codebase to surface risks, unknowns, and confidence-rated kickoff materials.

0

GitHub Stars

1

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill tachun/shape-up-analysis-skills --skill shape-up-analysis

  • SKILL.md5.9 KB

Overview

This skill analyzes a Shape Up pitch alongside the codebase to produce a concrete kickoff analysis with identified risks, rabbit holes, and a bet confidence rating. It delivers a practical, prioritized set of spikes, open questions, and mitigations to enable a focused cycle that fits the appetite.

How this skill works

I read the Shape Up pitch to extract problem, appetite, solution, and explicit no-gos, then map those items to the actual code paths that will be affected. I assess code health, surface hidden complexity, categorize risks (known risks, rabbit holes, unknowns), and synthesize a kickoff document with a numeric/star confidence rating and actionable next steps.

When to use it

  • When starting a new Shape Up cycle and you need to validate scope against codebase reality
  • When someone asks to "analyze this pitch" or "review Shape Up pitch"
  • Before betting: to surface blockers, unknowns, and rabbit holes
  • When you need a kickoff document with spikes, decisions, and confidence
  • To translate product assumptions into concrete technical questions

Best practices

  • Provide the full pitch document and grant read access to the code areas touched by the pitch
  • Keep the appetite explicit so risks are evaluated against a fixed timebox
  • Accept trade-offs up front and mark no-gos clearly to reduce scope creep
  • Run short timeboxed spikes for high-likelihood/high-impact unknowns before committing
  • Prioritize open questions by if they block progress (Can Proceed? flag)

Example use cases

  • Evaluate a user-facing feature pitch that touches payments and auth to find hidden integration work
  • Review an internal tooling pitch to discover legacy code hotspots that could explode scope
  • Prepare a kickoff summary for leadership showing confidence, blockers, and required decisions
  • Identify spikes required to estimate effort within a two-week appetite
  • Assess whether a pitch meets betting criteria and what would raise/lower confidence

FAQ

A complete Shape Up pitch (problem, appetite, solution, rabbit holes, no-gos) and read access to the repository paths the pitch affects.

How is bet confidence determined?

Confidence is synthesized from matched assumptions vs code reality, risk likelihood × impact, presence of tests/docs, and whether key unknowns are spike-able within the appetite.

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