admindatosgobes/laboratorio-de-datos/speckit-clarify
Claude Code and agent skill by admindatosgobes/laboratorio-de-datos
- community
- ext:[{"type":"hook","description":"Pre/post lifecycle hooks"}]
Checking that the SKILL.md file is still in the repository.
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
Install
npx vskill@latest install admindatosgobes/laboratorio-de-datos/speckit-clarifySemi-extensibleMentions customization, but needs skill-specific knowledge. Read the extensible skills standard
SKILL.md
User Input
You MUST consider the user input before proceeding (if not empty).
Pre-Execution Checks
Check for extension hooks (before clarification):
- Check if
.specify/extensions.ymlexists in the project root. - If it exists, read it and look for entries under the
hooks.before_clarifykey - If the YAML cannot be parsed or is invalid, skip hook checking silently and continue normally
- Filter out hooks where
enabledis explicitlyfalse. Treat hooks without anenabledfield as enabled by default. - For each remaining hook, do not attempt to interpret or evaluate hook
conditionexpressions: - If the hook has no
conditionfield, or it is null/empty, treat the hook as executable - If the hook defines a non-empty
condition, skip the hook and leave condition evaluation to the HookExecutor implementation - For each executable hook, output the following based on its
optionalflag: - Optional hook (
optional: true):
``` ## Extension Hooks
Optional Pre-Hook: {extension} Command: /{command} Description: {description}
Prompt: {prompt} To execute: /{command} ```
- Mandatory hook (
optional: false):
``` ## Extension Hooks
Automatic Pre-Hook: {extension} Executing: /{command} EXECUTE_COMMAND: {command}
Wait for the result of the hook command before proceeding to the Outline. ```
- If no hooks are registered or
.specify/extensions.ymldoes not exist, skip silently
Outline
Goal: Detect and reduce ambiguity or missing decision points in the active feature specification and record the clarifications directly in the spec file.
Note: This clarification workflow is expected to run (and be completed) BEFORE invoking /speckit.plan. If the user explicitly states they are skipping clarification (e.g., exploratory spike), you may proceed, but must warn that downstream rework risk increases.
Execution steps:
- Run
.specify/scripts/bash/check-prerequisites.sh --json --paths-onlyfrom repo root once (combined--json --paths-onlymode /-Json -PathsOnly). Parse minimal JSON payload fields:
FEATURE_DIRFEATURE_SPEC- (Optionally capture
IMPL_PLAN,TASKSfor future chained flows.) - If JSON parsing fails, abort and instruct user to re-run
/speckit.specifyor verify feature branch environment. - For single quotes in args like "I'm Groot", use escape syntax: e.g 'I'\''m Groot' (or double-quote if possible: "I'm Groot").
- Load the current spec file. Perform a structured ambiguity & coverage scan using this taxonomy. For each category, mark status: Clear / Partial / Missing. Produce an internal coverage map used for prioritization (do not output raw map unless no questions will be asked).
Functional Scope & Behavior:
- Core user goals & success criteria
- Explicit out-of-scope declarations
- User roles / personas differentiation
Domain & Data Model:
- Entities, attributes, relationships
- Identity & uniqueness rules
- Lifecycle/state transitions
- Data volume / scale assumptions
Interaction & UX Flow:
- Critical user journeys / sequences
- Error/empty/loading states
- Accessibility or localization notes
Non-Functional Quality Attributes:
- Performance (latency, throughput targets)
- Scalability (horizontal/vertical, limits)
- Reliability & availability (uptime, recovery expectations)
- Observability (logging, metrics, tracing signals)
- Security & privacy (authN/Z, data protection, threat assumptions)
- Compliance / regulatory constraints (if any)
Integration & External Dependencies:
- External services/APIs and failure modes
- Data import/export formats
- Protocol/versioning assumptions
Edge Cases & Failure Handling:
- Negative scenarios
- Rate limiting / throttling
- Conflict resolution (e.g., concurrent edits)
Constraints & Tradeoffs:
- Technical constraints (language, storage, hosting)
- Explicit tradeoffs or rejected alternatives
Terminology & Consistency:
- Canonical glossary terms
- Avoided synonyms / deprecated terms
Completion Signals:
- Acceptance criteria testability
- Measurable Definition of Done style indicators
Misc / Placeholders:
- TODO markers / unresolved decisions
- Ambiguous adjectives ("robust", "intuitive") lacking quantification
For each category with Partial or Missing status, add a candidate question opportunity unless:
- Clarification would not materially change implementation or validation strategy
- Information is better deferred to planning phase (note internally)
- Generate (internally) a prioritized queue of candidate clarification questions (maximum 5). Do NOT output them all at once. Apply these constraints:
- Maximum of 5 total questions across the whole session.
- Each question must be answerable with EITHER:
- A short multiple‑choice selection (2–5 distinct, mutually exclusive options), OR
- A one-word / short‑phrase answer (explicitly constrain: "Answer in <=5 words").
- Only include questions whose answers materially impact architecture, data modeling, task decomposition, test design, UX behavior, operational readiness, or compliance validation.
- Ensure category coverage balance: attempt to cover the highest impact unresolved categories first; avoid asking two low-impact questions when a single high-impact area (e.g., security posture) is unresolved.
- Exclude questions already answered, trivial stylistic preferences, or plan-level execution details (unless blocking correctness).
- Favor clarifications that reduce downstream rework risk or prevent misaligned acceptance tests.
- If more than 5 categories remain unresolved, select the top 5 by (Impact * Uncertainty) heuristic.
- Sequential questioning loop (interactive):
- Present EXACTLY ONE question at a time.
- For multiple‑choice questions:
- Analyze all options and determine the most suitable option based on:
- Best practices for the project type
- Common patterns in similar implementations
- Risk reduction (security, performance, maintainability)
- Alignment with any explicit project goals or constraints visible in the spec
- Present your recommended option prominently at the top with clear reasoning (1-2 sentences explaining why this is the best choice).
- Format as:
**Recommended:** Option [X] - <reasoning> - Then render all options as a Markdown table:
| Option | Description | |
|---|---|---|
| A | <Option A description> | |
| B | <Option B description> | |
| C | <Option C description> (add D/E as needed up to 5) | |
| Short | Provide a different short answer (<=5 words) (Include only if free-form alternative is appropriate) |
- After the table, add:
You can reply with the option letter (e.g., "A"), accept the recommendation by saying "yes" or "recommended", or provide your own short answer. - For short‑answer style (no meaningful discrete options):
- Provide your suggested answer based on best practices and context.
- Format as:
**Suggested:** <your proposed answer> - <brief reasoning> - Then output:
Format: Short answer (<=5 words). You can accept the suggestion by saying "yes" or "suggested", or provide your own answer. - After the user answers:
- If the user replies with "yes", "recommended", or "suggested", use your previously stated recommendation/suggestion as the answer.
- Otherwise, validate the answer maps to one option or fits the <=5 word constraint.
- If ambiguous, ask for a quick disambiguation (count still belongs to same question; do not advance).
- Once satisfactory, record it in working memory (do not yet write to disk) and move to the next queued question.
- Stop asking further questions when:
- All critical ambiguities resolved early (remaining queued items become unnecessary), OR
- User signals completion ("done", "good", "no more"), OR
- You reach 5 asked questions.
- Never reveal future queued questions in advance.
- If no valid questions exist at start, immediately report no critical ambiguities.
- Integration after EACH accepted answer (incremental update approach):
- Maintain in-memory representation of the spec (loaded once at start) plus the raw file contents.
- For the first integrated answer in this session:
- Ensure a
## Clarificationssection exists (create it just after the highest-level contextual/overview section per the spec template if missing). - Under it, create (if not present) a
### Session YYYY-MM-DDsubheading for today. - Append a bullet line immediately after acceptance:
- Q: <question> → A: <final answer>. - Then immediately apply the clarification to the most appropriate section(s):
- Functional ambiguity → Update or add a bullet in Functional Requirements.
- User interaction / actor distinction → Update User Stories or Actors subsection (if present) with clarified role, constraint, or scenario.
- Data shape / entities → Update Data Model (add fields, types, relationships) preserving ordering; note added constraints succinctly.
- Non-functional constraint → Add/modify measurable criteria in Success Criteria > Measurable Outcomes (convert vague adjective to metric or explicit target).
- Edge case / negative flow → Add a new bullet under Edge Cases / Error Handling (or create such subsection if template provides placeholder for it).
- Terminology conflict → Normalize term across spec; retain original only if necessary by adding
(formerly referred to as "X")once. - If the clarification invalidates an earlier ambiguous statement, replace that statement instead of duplicating; leave no obsolete contradictory text.
- Save the spec file AFTER each integration to minimize risk of context loss (atomic overwrite).
- Preserve formatting: do not reorder unrelated sections; keep heading hierarchy intact.
- Keep each inserted clarification minimal and testable (avoid narrative drift).
- Validation (performed after EACH write plus final pass):
- Clarifications session contains exactly one bullet per accepted answer (no duplicates).
- Total asked (accepted) questions ≤ 5.
- Updated sections contain no lingering vague placeholders the new answer was meant to resolve.
- No contradictory earlier statement remains (scan for now-invalid alternative choices removed).
- Markdown structure valid; only allowed new headings:
## Clarifications,### Session YYYY-MM-DD. - Terminology consistency: same canonical term used across all updated sections.
- Write the updated spec back to
FEATURE_SPEC.
- Report completion (after questioning loop ends or early termination):
- Number of questions asked & answered.
- Path to updated spec.
- Sections touched (list names).
- Coverage summary table listing each taxonomy category with Status: Resolved (was Partial/Missing and addressed), Deferred (exceeds question quota or better suited for planning), Clear (already sufficient), Outstanding (still Partial/Missing but low impact).
- If any Outstanding or Deferred remain, recommend whether to proceed to
/speckit.planor run/speckit.clarifyagain later post-plan. - Suggested next command.
Behavior rules:
This is the start of the file. Read the full SKILL.md on GitHub.
Security
- Security scanPassed, 100 of 100Pattern checks on the skill's files.
- Model reviewNot runA model review is scheduled for the next rescan.
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingData Science/Análisis de precios de carburantes con GenAI como copiloto/.claude/skills/speckit-clarify/SKILL.md
Popularity
- Repository stars
- 69
- Repository forks
- 72
- 7-day trend score
- 21
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
Extension points
hookPre/post lifecycle hooks
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