speckit-analyze

Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.

By dceoy · 655 installs

npx skills add dceoy/speckit-agent-skills --skill speckit-analyze

Source repository · Upstream listing

User Input You MUST consider the user input before proceeding (if not empty). Pre Execution Checks Check for extension hooks (before analysis) : Check if .specify/extensions.yml exists in the project root. If it exists, read it and look for entries under the hooks.before analyze key If the YAML cannot be parsed or is invalid, skip hook checking silently and continue normally Filter out hooks where enabled is explicitly false . Treat hooks without an enabled field as enabled by default. For each remaining hook, do not attempt to interpret or evaluate hook condition expressions: If the hook has no condition field, 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 When constructing command invocations from hook command names, replace dots ( . ) with hyphens ( ). For example, speckit.git.commit → /speckit git commit . For each executable hook, output the following based on its optional flag: Optional hook ( optional: true ): Mandatory hook ( optional: false ): After emitting the block above you MUST actually invoke the hook and wait for it to finish before continuing. Run it the same way you would run the command yourself in this agent/session (the invocation may differ from the literal {command} id shown above, e.g. a skills mode agent runs it as /skill:speckit ... or $speckit ... ). Emitting the block alone does not run the hook. If no hooks are registered or .specify/extensions.yml does not exist, skip silently 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 ( .specify/memory/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 .specify/scripts/bash/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 Success Criteria (measurable outcomes — e.g., performance, security, availability, user success, business impact) 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 .specify/memory/constitution.md for principle validation 3. Build Semantic Models Create internal representations (do not include raw artifacts in output): Requirements inventory : For each Functional Requirement (FR ) and Success Criterion (SC ), record a stable key. Use the explicit FR /SC identifier as the primary key when present, and optionally also derive an imperative phrase slug for readability (e.g., "User can upload file" → user can upload file ). Include only Success Criteria items that require buildable work (e.g., load testing infrastructure, security audit tooling), and exclude post launch outcome metrics and business KPIs (e.g., "Reduce support tickets by 50%"). 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 Success Criteria requiring buildable work (performance, security, availability) not reflected in tasks 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.) 9. Check for extension hooks After reporting, check if .specify/extensions.yml exists in the project root. If it exists, read it and look for entries under the hooks.after analyze key If the YAML cannot be parsed or is invalid, skip hook checking silently and continue normally Filter out hooks where enabled is explicitly false . Treat hooks without an enabled field as enabled by default. For each remaining hook, do not attempt to interpret or evaluate hook condition expressions: If the hook has no condition field, 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 When constructing command invocations from hook command names, replace dots ( . ) with hyphens ( ). For example, speckit.git.commit → /speckit git commit . For each executable hook, output the following based on its optional flag: Optional hook ( optional: true ): Mandatory hook ( optional: false ): After emitting the block above you MUST actually invoke the hook and wait for it to finish before continuing. Run it the same way you would run the command yourself in this agent/session (the invocation may differ from the literal {command} id shown above, e.g. a skills mode agent runs it as /skill:speckit ... or $speckit ... ). Emitting the block alone does not run the hook. If no hooks are registered or .specify/extensions.yml does not exist, skip silently 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) Context $ARGUMENTS