| name | speckit-analyze |
| description | Perform cross-artifact consistency analysis across spec.md, plan.md, and tasks.md. Use after task generation to identify gaps, duplications, and inconsistencies before implementation. |
Speckit Analyze Skill
Goal
Identify inconsistencies, duplications, ambiguities, and underspecified items across the three core artifacts (spec.md, plan.md, tasks.md) before implementation. This command MUST run only after /speckit.tasks has successfully produced a complete tasks.md.
Operating Constraints
STRICTLY READ-ONLY: Do not modify any files. Output a structured analysis report. Offer an optional remediation plan (user must explicitly approve before any follow-up editing commands would be invoked manually).
Constitution Authority: The project constitution (specs/constitution.md) is non-negotiable within this analysis scope. Constitution conflicts are automatically CRITICAL and require adjustment of the spec, plan, or tasks—not dilution, reinterpretation, or silent ignoring of the principle. If a principle itself needs to change, that must occur in a separate, explicit constitution update outside /speckit.analyze.
Execution Steps
1. Initialize Analysis Context
Run scripts/check-prerequisites.sh --json --require-tasks --include-tasks once from repo root and parse JSON for FEATURE_DIR and AVAILABLE_DOCS. Derive absolute paths:
- SPEC = FEATURE_DIR/spec.md
- PLAN = FEATURE_DIR/plan.md
- TASKS = FEATURE_DIR/tasks.md
Abort with an error message if any required file is missing (instruct the user to run missing prerequisite command).
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").
2. Load Artifacts (Progressive Disclosure)
Load only the minimal necessary context from each artifact:
From spec.md:
- Overview/Context
- Functional Requirements
- Non-Functional Requirements
- User Stories
- Edge Cases (if present)
From plan.md:
- Architecture/stack choices
- Data Model references
- Phases
- Technical constraints
From tasks.md:
- Task IDs
- Descriptions
- Phase grouping
- Parallel markers [P]
- Referenced file paths
From constitution:
- Load
specs/constitution.md for principle validation
3. Build Semantic Models
Create internal representations (do not include raw artifacts in output):
- Requirements inventory: Each functional + non-functional requirement with a stable key (derive slug based on imperative phrase; e.g., "User can upload file" →
user-can-upload-file)
- User story/action inventory: Discrete user actions with acceptance criteria
- Task coverage mapping: Map each task to one or more requirements or stories (inference by keyword / explicit reference patterns like IDs or key phrases)
- Constitution rule set: Extract principle names and MUST/SHOULD normative statements
4. Detection Passes (Token-Efficient Analysis)
Focus on high-signal findings. Limit to 50 findings total; aggregate remainder in overflow summary.
A. Duplication Detection
- Identify near-duplicate requirements
- Mark lower-quality phrasing for consolidation
B. Ambiguity Detection
- Flag vague adjectives (fast, scalable, secure, intuitive, robust) lacking measurable criteria
- Flag unresolved placeholders (TODO, TKTK, ???,
<placeholder>, etc.)
C. Underspecification
- Requirements with verbs but missing object or measurable outcome
- User stories missing acceptance criteria alignment
- Tasks referencing files or components not defined in spec/plan
D. Constitution Alignment
- Any requirement or plan element conflicting with a MUST principle
- Missing mandated sections or quality gates from constitution
E. Coverage Gaps
- Requirements with zero associated tasks
- Tasks with no mapped requirement/story
- Non-functional requirements not reflected in tasks (e.g., performance, security)
F. Inconsistency
- Terminology drift (same concept named differently across files)
- Data entities referenced in plan but absent in spec (or vice versa)
- Task ordering contradictions (e.g., integration tasks before foundational setup tasks without dependency note)
- Conflicting requirements (e.g., one requires Next.js while other specifies Vue)
5. Severity Assignment
Use this heuristic to prioritize findings:
- CRITICAL: Violates constitution MUST, missing core spec artifact, or requirement with zero coverage that blocks baseline functionality
- HIGH: Duplicate or conflicting requirement, ambiguous security/performance attribute, untestable acceptance criterion
- MEDIUM: Terminology drift, missing non-functional task coverage, underspecified edge case
- LOW: Style/wording improvements, minor redundancy not affecting execution order
6. Produce Compact Analysis Report
Output a Markdown report (no file writes) with the following structure:
Specification Analysis Report
| ID | Category | Severity | Location(s) | Summary | Recommendation |
|---|
| A1 | Duplication | HIGH | spec.md:L120-134 | Two similar requirements ... | Merge phrasing; keep clearer version |
(Add one row per finding; generate stable IDs prefixed by category initial.)
Coverage Summary Table:
| Requirement Key | Has Task? | Task IDs | Notes |
|---|
Constitution Alignment Issues: (if any)
Unmapped Tasks: (if any)
Metrics:
- Total Requirements
- Total Tasks
- Coverage % (requirements with >=1 task)
- Ambiguity Count
- Duplication Count
- Critical Issues Count
7. Provide Next Actions
At end of report, output a concise Next Actions block:
- If CRITICAL issues exist: Recommend resolving before
/speckit.implement
- If only LOW/MEDIUM: User may proceed, but provide improvement suggestions
- Provide explicit command suggestions: e.g., "Run /speckit.specify with refinement", "Run /speckit.plan to adjust architecture", "Manually edit tasks.md to add coverage for 'performance-metrics'"
8. Offer Remediation
Ask the user: "Would you like me to suggest concrete remediation edits for the top N issues?" (Do NOT apply them automatically.)
Operating Principles
Context Efficiency
- Minimal high-signal tokens: Focus on actionable findings, not exhaustive documentation
- Progressive disclosure: Load artifacts incrementally; don't dump all content into analysis
- Token-efficient output: Limit findings table to 50 rows; summarize overflow
- Deterministic results: Rerunning without changes should produce consistent IDs and counts
Analysis Guidelines
- NEVER modify files (this is read-only analysis)
- NEVER hallucinate missing sections (if absent, report them accurately)
- Prioritize constitution violations (these are always CRITICAL)
- Use examples over exhaustive rules (cite specific instances, not generic patterns)
- Report zero issues gracefully (emit success report with coverage statistics)
