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Strategic review

Skill SWEStash/swe-workflow-skills/plugins/pm/skills/strategic-review

A comprehensive SWE workflow, encoded. Might be useful to you too.

Install
npx -y skills add SWEStash/swe-workflow-skills --skill strategic-review

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What its author says it does

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Review a project's strategic position before going public, launching, or raising — vision, mission, value proposition, scope positioning, the defensible wedge, and a live competitive / market comparative analysis. Use project-review for execution/roadmap/implementation health; delegates deep market scans to deep-research.

SKILL.md

6.5 KB, ~1.3k tokens by cl100k_base, as published. Nobody here has run it

Strategic Review

Pressure-test whether a project has a defensible strategic position before it goes public. The output is an honest read on vision, positioning, and market — what's strong, what rests on unproven assumptions, and where the wedge is closing — ending in strategic options with trade-offs and a recommendation (not flattery, and not a single forced verdict unless asked).

This is the strategy lens. For what's actually built and whether it works, run project-review; the two compose into a full pre-public review (see templates/full-review-prompt.md).

Ground rule: a thesis is a claim, not a fact

State the project's strategic thesis in one sentence, then treat every load-bearing assumption inside it as a claim to be tested, not granted. The most valuable thing this review produces is naming the assumption the whole strategy rests on — and whether there's evidence for it. Mark every market finding confirmed (cited source, dated) or inferred, and date-bound everything ("as of <date>") because the competitive landscape moves.

Step 1: Articulate and critique the vision

Extract, from the project's own materials, the core narrative:

  • Vision / mission — what change in the world, for whom.
  • Value proposition — the specific job it does and why someone switches to it.
  • The thesis — the one-sentence bet (e.g. "developers will adopt a neutral standard layer because they run multiple tools and feel the lock-in pain").

Then critique it: Is the value proposition concrete or aspirational? Is the target user real and reachable? Which assumption is load-bearing, and is it proven? (How many users actually have the pain? Would they pay / switch / adopt?)

Step 2: Scope and positioning

  • Positioning — what band does this compete in, and against what? Where does it sit relative to incumbents and to the platforms it runs on?
  • The defensible wedge — what can this do that the obvious larger players won't or can't, and how durable is that? Separate a real moat (standard, network, data, switching cost) from a temporary head start.
  • Where positioning is strong vs. where it leans on unproven assumptions — be explicit about the difference.

Step 3: Market comparative analysis (live)

Survey the field with current evidence, not memory:

  • Refresh the known bands — for each established competitor band, who's in it now and what shipped recently.
  • Hunt for new entrants — date-bound searches for products that appeared recently in this space, adjacent standards, and platform features that may absorb the category.
  • For a deep, multi-source, fact-checked sweep, delegate to deep-research and fold its cited report in. For a lighter pass, use WebSearch/WebFetch directly. (This skill runs in a forked context — if the deep-research skill is not invocable from here, do the lighter pass yourself and note under Open questions that a deep-research sweep is the recommended follow-up.)
  • Tag each comparable with its relationship: competitor, complement, or integration target — and what it means for this project.
  • Label every finding confirmed-vs-inferred and date it.

Step 4: Trajectory and wedge-closure risk

The dangerous competitor is often the platform, not a peer. Assess:

  • Absorption risk — is a larger platform shipping features that close the wedge? What's the trajectory over the last 6–12 months?
  • Timing — is the window opening or closing, and what evidence says so?
  • What would invalidate the thesis — name the observable event that would mean "stop."

Step 5: Synthesis — potential, weak points, strategic forks

Integrate the above into a decision instrument:

  • Potential — the genuine strengths and the conditions under which the bet pays off.
  • Weak points, ranked — lead with the assumption most likely to be false.
  • Strategic forks — present 2–4 distinct paths (e.g. double down / narrow scope / reposition / pivot), each with its trade-offs, then name a recommended path and why. Configurable: if the user wants options only or a hard go/no-go, honor that — default is options + a recommendation.
  • A readiness picture mapped to the project's own gates, if it has them.

Write the full review to a file — default a gitignored path (e.g. .local/strategic-review-<date>.md) — and state its path in your final summary. This skill runs in a forked context: only the summary returns, everything unwritten is lost. The summary leads with the thesis verdict and the top weak point. Anything that needs the user's judgment (which strategic fork to take, an unverifiable market assumption, missing vision docs) goes in an Open questions section of the report — never silently decided.

For the rendered deliverable (interactive HTML, scorecards, a forks comparison panel), hand off to artifact-design.

Principles Applied

  • Honesty over hype — surface the uncomfortable finding first; a review that validates the founder's optimism is worse than none.
  • Assumptions are the product — the review's value is naming what must be true.
  • Current and cited — date-bound, confirmed-vs-inferred, sourced.
  • Options with a recommendation — give the decision-maker the forks and a view.

Cross-Skill References

  • project-review — the execution half of a pre-public review (roadmap, implementation, evidence).
  • deep-research — for the deep, fact-checked market fan-out; fold its report into Step 3.
  • project-proposal — when the question is a forward-looking go/no-go business case, not a review.
  • metrics-and-okrs — to convert the readiness picture into measurable gates.
  • artifact-design — to render the review as a polished interactive decision instrument.

Keep looking

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