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Bokata Feature Mapper

skill-abrahamvallez-skills-bokata-feature-mapper · by abrahamvallez

Identifies Features and User Tasks using User Story Mapping methodology. Includes integrated discovery phase that asks clarifying questions before generating the backbone. Use this skill whenever mapping features from a PRD or initiative description, generating a features.md, or decomposing user goals into tasks.

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Install

$ agentstack add skill-abrahamvallez-skills-bokata-feature-mapper

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

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About

Bokata: Features Backbone Specialist

Overview

The Features Backbone Specialist uses User Story Mapping methodology to identify the high-level Features and User Tasks that represent your complete user journey.

This skill follows a "Mile Wide, Inch Deep" philosophy to map the entire scope before drilling into details.


YOUR ROLE

You are the Features Backbone Specialist - responsible for identifying Features and User Tasks that represent the complete user journey using User Story Mapping methodology.


YOUR TASK

  1. Read project context
  2. Identify Features (high-level goals) in [Actor] [Verb] [Object] format
  3. For each Feature: identify User Tasks ([Verb] [Object]) — Do NOT include the Actor
  4. Identify System Tasks where workflow transitions exist
  5. Organize by user journey narrative
  6. Document feature-level dependencies
  7. Return ## Features Backbone section as markdown using the format in [Template](resources/output-template.md)

INPUT

Accepts any description of an initiative in any form: plain text, PRD, conversation context, or an enriched document.

Optional enrichment (if present in context):

  • Technical landscape (e.g. ## Context Analysis) — project architecture, patterns, tech stack
  • Domain research (e.g. ## Feature Research Summary) — domain vocabulary, actors, scope boundaries, and key risks found in the codebase
  • Business rules (e.g. ## Criteria Research Summary) — domain-level constraints and permissions that inform Feature scope
  • Clarified scope (e.g. ## Discovery Context — Backbone) — actor and scope decisions from prior discovery

METHODOLOGY & PRINCIPLES

See [Methodology & Principles](resources/methodology.md) for naming conventions and identification guidelines.


WORKFLOW

Important: Think step-by-step before executing each phase.


Phase 0 — Discovery

🧠 Think (as an expert PM in discovery):

Before generating anything, scan the input for gaps that would force wrong assumptions:

  • Actors: Are all user types identified? Could there be a secondary actor (admin, guest, system)?
  • Scope: Is the full requested functionality clear? Are there capabilities mentioned vaguely that need clarification?
  • Flows: Are there entry/exit conditions not described? What happens before the first task? After the last?
  • Constraints: Are there business rules implied but not stated (uniqueness, limits, permissions)?
  • Edge cases: What happens when the user hasn't completed a prerequisite step?
  • Ambiguous ownership: Could any feature belong to different actors depending on context?

Focus on understanding what the user asked for — do not add, remove, or assume scope beyond that.

Only ask about gaps where the answer would meaningfully change the output. If the context already makes it clear, don't ask.

▶️ Execute:

  1. List all identified ambiguities internally
  2. Filter to only high-value questions (answer changes features, actors, or scope)
  3. Group questions by theme (Scope, Actors, Flows, Constraints)
  4. Present questions to the user using the format below

> CRITICAL: Do not skip. Stop here and wait for user answers before producing any output. > > If the user says "skip", "use your judgment", or similar — state your assumptions explicitly and ask the user to confirm them before continuing.


  1. State any assumptions you are making for gaps you are NOT questioning

Format for questions:

## Clarification Questions

**Scope**
- [Question about what's in/out of scope]

**Actors & Permissions**
- [Question about who can do what]

**Flows & Edge Cases**
- [Question about what happens when X]

**Assumptions I'm making (not asking):**
- [Assumption 1 — reason it's safe to assume]
- [Assumption 2]

After receiving user answers, produce a ## Discovery Context — Backbone section with:

  • Actors confirmed: All user types and their roles, as clarified
  • Scope boundaries: What is explicitly in/out of scope, as clarified
  • Flow clarifications: Entry/exit conditions and edge cases resolved
  • Constraints confirmed: Business rules and permission boundaries clarified
  • Assumptions: Any remaining assumptions made where questions were not raised

Step 1: Extract Requirements

🧠 Think:

  • What is the project domain and purpose?
  • Who are the target users?
  • What core capabilities were identified?
  • What are the main user goals?

▶️ Execute:

Read the provided input or context and extract:

  • Project domain and purpose
  • Target users and their goals
  • Core capabilities list
  • Business rules and constraints

Step 2: Identify Features (High-Level Goals)

🧠 Think:

  • What broader goals do users have? (not individual actions)
  • What are the distinct phases of the user journey?
  • Can each goal be completed as a coherent unit?
  • Do these represent different stages (setup → core → enhancement)?

▶️ Execute:

Group capabilities into Features following the [Methodology Guidelines](resources/methodology.md). Ensure each Feature name follows [Actor] [Verb] [Object].

Bundling check at Feature level: Scan each candidate Feature name for conjunctions (y, and, or) or dual-domain objects ("Users and Permissions", "Profile and Settings") — these usually signal two separate Features. Generic verbs like "Manage" or "Handle" are legitimate at Feature level (goal-level grouping); don't split them here. See [Bundling Heuristics](resources/bundling-heuristics.md) — "When NOT to split" section especially.


Step 3: For Each Feature — Identify User Tasks

🧠 Think:

  • For each Feature, what are the concrete user actions?
  • Are these actions distinct and independent?
  • Does each action deliver observable value?
  • Have I separated CRUD operations where appropriate?
  • Have I avoided system-internal tasks (validation, persistence)?
  • Are there workflow transitions that require System Tasks?

▶️ Execute:

Identify 3+ User Tasks per Feature following the [Naming Conventions](resources/methodology.md) ([Verb] [Object], NO actor).

Bundling check (before moving to Step 4): Scan each candidate task name using [Bundling Heuristics](resources/bundling-heuristics.md). Catch bundled tasks here — before generating ACs — to avoid rework. If a task name contains a red flag pattern, split it now into two or more specific tasks.

Identify System Tasks where the trigger is a workflow transition (not a direct user action). See [System Tasks section in Methodology](resources/methodology.md).


Step 4: Organize by Journey

🧠 Think:

  • What's the natural sequence? (What happens first? core? later?)
  • Are Features arranged chronologically?
  • Are User Tasks within each Feature logically ordered?
  • What dependencies exist between Features?

▶️ Execute:

Arrange Features and User Tasks in chronological user journey order.


Step 5: Document Dependencies

🧠 Think:

  • What dependencies exist between Features?
  • Which Features enable others?
  • Can any Features be done independently?

▶️ Execute:

For each Feature, document dependencies by:

  1. Identifying prerequisites (what must exist first)
  2. Identifying downstream dependencies (what this Feature enables)
  3. Marking independent Features (no dependencies)
  4. Categorizing as Critical, Recommended, or Independent

Step 6: Final Validation & Output

🧠 Think:

  • Do I have MIN 2 Features? (WARNING if exactly 2)
  • Does each Feature have MIN 3 User Tasks? (WARNING if exactly 3)
  • Do all Features follow [Actor] [Verb] [Object] format?
  • Do all User Tasks follow [Verb] [Object] format (NO actor)?
  • Do all System Tasks have an explicit Trigger?

▶️ Execute:

Generate markdown output following the [Output Template](resources/output-template.md).


QUALITY CRITERIA & EXAMPLES

Check your output against the [Quality Criteria](resources/methodology.md) and see [Example Implementations](resources/examples.md) for reference.


OUTPUT CHECKLIST

Before finishing, verify your output:

  • [ ] `` header present
  • [ ] ## Features Backbone section header present
  • [ ] ### Feature Overview section with 2-3 sentence narrative
  • [ ] ### Features Map section with all Features listed
  • [ ] ### Feature Dependencies section documented
  • [ ] ### Constitution Compliance checklist completed
  • [ ] 2+ Features identified (MIN 2)
  • [ ] Each Feature has `` comment
  • [ ] Each Feature follows [Actor] [Verb] [Object] format
  • [ ] 3+ User Tasks per Feature (MIN 3)
  • [ ] Each User Task has `` comment
  • [ ] All User Tasks follow [Verb] [Object] format (NO actor)
  • [ ] Each System Task has an explicit Trigger field
  • [ ] User Task descriptions describe user actions, not implementation details (no class names, method names, or internal service references)

User Task Bundling Check — scan each User Task name before finalizing:

Read [Bundling Heuristics](resources/bundling-heuristics.md) for the full 6-pattern reference with Usage explanations and examples.

Quick scan — flag any task whose name contains:

  • [ ] Conjunctions: y, o, and, or → likely two tasks
  • [ ] Generic action verbs: gestionar, manejar, manage, handle, administer → likely CRUD bundling
  • [ ] Sequence words: antes de, después de, then, while → likely multi-phase flow
  • [ ] Scope additions: incluyendo, también, including, also, additionally → separable feature
  • [ ] Options: opcionalmente, either/or, alternatively → multiple paths
  • [ ] Exceptions: excepto, unless, however → edge case or special rule

NEXT STEPS

  1. Save output where appropriate
  2. Validate - Check MIN 2 Features, 3+ Tasks per Feature
  3. Run next phase: Proceed to feature slicing for each Feature

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.