agentleFS
GusevV1987GusevV1987/ai-workspace-kit/skills/scope/SKILL.md

scope

Skill2 starsChanged 8 months agoMITView on GitHub

Framework-driven feature scoping decisions for product development. Applies 7 product frameworks (Lean Startup, JTBD, RICE, etc.) to decide whether a feature belongs in MVP or later iterations. Use when: (1) /scope command, (2) "should we include X in MVP?", "scope this feature", "MVP or later?", (3) any product feature prioritization decision.

42 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use frames, develop and 9 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • sanmidableSkill

    frames

    Also in 3 projects that use this

  • hong9LeeSkill

    develop

    빌드, 아키텍처, git 관련 작업 시 OMS MSA 공통 인프라 규칙을 적용한다. 기술 스택, 빌드 명령, 헥사고날 아키텍처 구조, git 워크플로우, AI Context 동기화 규칙을 다룬다. 코드 작성 컨벤션은 /convention, 테스트 컨벤션은 /test-guide 스킬을 참조.

    Also in 6 projects that use this

  • minhtran3124Skill

    visual

    Skill graph visualizer — scans all SKILL.md files in skills/, builds a directed relationship graph from explicit `relationships` frontmatter (falling back to content inference), and generates both a Mermaid markdown summary and an interactive HTML graph at .docs/skill-graph.html. Trigger: /visual

    Also in 3 projects that use this

  • MicrosoftSkill

    sync

    Sync the current session branch with its upstream branch, or publish the current session branch to a remote. Use when the user asks to sync a branch, pull latest changes, rebase onto upstream, push current branch, publish branch, or set upstream.

    Also in 7 projects that use this

  • nicolasestremSkill

    document

    Create focused documentation for specific components or features

    Also in 5 projects that use this

  • Skeln-ioSkill

    copy

    Direct response copywriting using proven frameworks. Brand-aware — reads ICP, voice, and tone from your brand config. Covers product descriptions, SEO meta, email, social, press angles.

    Also in 3 projects that use this

The file

We split this skill into the rules it gives an agent

7 rules. 0 are common, 7 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 39 edited versions we read keep these.

  • 7

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Use AskUserQuestion to collect:

    line 34
  2. Distinctive:

    If a PRD or product doc exists, read it first to understand the product context.

    line 41
  3. Distinctive:

    Every additional minute in a flow loses ~3-5% of users

    line 88
  4. Distinctive:

    If the hypothesis fails, does this feature still have value?

    line 98
  5. Distinctive:

    If a feature can be captured passively or naturally, it costs almost nothing to include.

    line 112
  6. Distinctive:

    Do competitors already do this well?

    line 120
  7. Distinctive:

    If the verdict is V1.5 or later, always suggest a passive/lightweight alternative that captures some value with zero extra user flow time.

    line 164

“Common” is measured: kept by at least 6 in 10 of the 39 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Feature Scoping Skill

Make disciplined product decisions about whether a feature belongs in MVP or later iterations, using 7 proven frameworks.

When to Use

  • User says /scope, "should we include X in MVP?", "scope this feature", "MVP or later?"
  • Any feature prioritization decision for a new or existing product
  • Choosing between "build it now" vs "build it later" for a specific capability

Step 1: Gather Context

Use AskUserQuestion to collect:

  1. Feature description — What's the feature? What would it do?
  2. Product context — What product is this for? What's the core product hypothesis? (If a PRD exists, read it)
  3. Current user flow — How long is the current user journey? (minutes, steps, etc.)
  4. Why it's being considered — What triggered this question? (user request, competitor has it, founder wants it)

If a PRD or product doc exists, read it first to understand the product context.

Step 2: Apply 7 Frameworks

Analyze the feature through each framework. Present results as a clear table.

Framework 1: Lean Startup — Hypothesis Test

Question: Does this feature help test the core product hypothesis?

EvaluationMeaning
DirectThe feature IS the hypothesis test
SupportingHelps test it but isn't the main thing
IrrelevantDoesn't help test the core hypothesis
DistractingActively distracts from testing the hypothesis

Framework 2: Jobs-to-be-Done

Question: Is this the job the user hired the product for?

  • What's the primary job-to-be-done?
  • Does this feature serve the primary job, a secondary job, or a different job entirely?
  • Would users feel the product is incomplete without it?

Framework 3: RICE Scoring

Score the feature:

FactorScore (1-10)Reasoning
Reach?How many users will this affect in the first 3 months?
Impact?How much will it improve the experience? (3=massive, 2=high, 1=medium, 0.5=low, 0.25=minimal)
Confidence?How sure are we this will work? (100%=high, 80%=medium, 50%=low)
Effort?Person-weeks to build (higher = more effort)

RICE Score = (Reach x Impact x Confidence) / Effort

Framework 4: Flow Length Analysis

Question: How much time does this add to the user journey?

Current flow+ This featureTotalDrop-off risk
X min+Y minZ minLow/Medium/High/Fatal

Rules of thumb:

  • Every additional minute in a flow loses ~3-5% of users
  • Flows over 15 minutes need save/resume
  • Flows over 30 minutes need very strong motivation

Framework 5: Core Hypothesis Test

Question: What's the #1 assumption this product needs to validate?

  • State the core hypothesis explicitly
  • Does this feature help prove or disprove it?
  • If the hypothesis fails, does this feature still have value?
  • Could we validate the hypothesis WITHOUT this feature?

Framework 6: Natural Emergence

Question: Does this feature emerge organically from existing features?

PatternSignal
NaturalThe feature is a byproduct of existing functionality (e.g., analytics from usage data)
PassiveCan be captured with minimal extra effort during existing flows
Requires dedicated flowNeeds its own UI, conversation, or data collection step
Parallel productIs essentially a separate product

If a feature can be captured passively or naturally, it costs almost nothing to include. If it requires a dedicated flow, the cost is real.

Framework 7: Differentiation Value

Question: Does this strengthen or dilute our competitive edge?

  • What's our #1 differentiator? (from competitive analysis if available)
  • Does this feature reinforce that differentiator or spread focus?
  • Do competitors already do this well? (if so, it's table stakes, not differentiation)
  • Would removing this feature make our positioning weaker?

Step 3: Synthesize Decision

Combine all 7 frameworks into a decision:

VerdictWhen to use it
MVPFeature directly tests core hypothesis, serves primary JTBD, high RICE, manageable flow impact, reinforces differentiation
V1.5 (Light version)Feature has value but can be included passively or in lightweight form without adding user flow time
V2 (Full version)Feature is valuable but requires dedicated flow, doesn't test core hypothesis, or competitors don't have it yet
NeverFeature is a distraction, dilutes positioning, or serves a different JTBD

Step 4: Present Decision

Format the output as:

Decision: [Feature Name]

Verdict: [MVP / V1.5 / V2 / Never]

FrameworkFindingSupports MVP?
Lean Startup[finding]Yes/No
JTBD[finding]Yes/No
RICEScore: [X]Yes/No
Flow Length+[Y] min ([risk] drop-off)Yes/No
Core Hypothesis[finding]Yes/No
Natural Emergence[pattern]Yes/No
Differentiation[finding]Yes/No

Score: [X]/7 frameworks support MVP

Phased Approach

PhaseWhat to doWhy
MVP[specific approach][reasoning]
V1.5[if applicable][reasoning]
V2[if applicable][reasoning]

If Not MVP — Passive Alternative

If the verdict is V1.5 or later, always suggest a passive/lightweight alternative that captures some value with zero extra user flow time. Examples:

  • AI detects patterns during existing conversation instead of asking directly
  • Collect metadata passively from user behavior
  • Offer as optional post-completion add-on
  • Surface through existing UI without dedicated section

Step 5: Save Output

Save to the project folder if one exists, or present inline.

Tips from Experience

  • The biggest risk is usually flow length — adding 10 min to a 20 min flow is fatal
  • "Passive capture" is the secret weapon — many features can be included at near-zero cost if you don't try to do them perfectly
  • Core hypothesis is the tiebreaker — when frameworks disagree, always defer to "does this help test the core hypothesis?"
  • Competitors having a feature doesn't mean you need it — it might be table stakes, or it might be their differentiator (not yours)
  • V1.5 is often the right answer — not MVP, not V2, but a lightweight version that captures 60% of the value at 10% of the cost

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.