本文へ移動
cccskills
無料GitHub で公開

speckit-analyze

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.

インストール方法を見る

含まれるファイル(1)

  • SKILL.md7.3 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Speckit Analyze Skill

User Input

$ARGUMENTS

You MUST consider the user input before proceeding (if not empty).

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/powershell/check-prerequisites.ps1 -Json -RequireTasks -IncludeTasks 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 .specify/memory/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

IDCategorySeverityLocation(s)SummaryRecommendation
A1DuplicationHIGHspec.md:L120-134Two similar requirements ...Merge phrasing; keep clearer version

(Add one row per finding; generate stable IDs prefixed by category initial.)

Coverage Summary Table:

Requirement KeyHas Task?Task IDsNotes

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)

Context

$ARGUMENTS

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

adaptyv

無料

Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.

日本語の概要は準備中です。原文の説明を表示しています。

foryourhealth111-pixel/Vibe-Skills3,6742026年8月31日 更新

aeon

無料

This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.

日本語の概要は準備中です。原文の説明を表示しています。

foryourhealth111-pixel/Vibe-Skills3,6742026年8月31日 更新

Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.

日本語の概要は準備中です。原文の説明を表示しています。

foryourhealth111-pixel/Vibe-Skills3,6742026年8月31日 更新

Access real-time and historical stock market data, forex rates, cryptocurrency prices, commodities, economic indicators, and 50+ technical indicators via the Alpha Vantage API. Use when fetching stock prices (OHLCV), company fundamentals (income statement, balance sheet, cash flow), earnings, options data, market news/sentiment, insider transactions, GDP, CPI, treasury yields, gold/silver/oil prices, Bitcoin/crypto prices, forex exchange rates, or calculating technical indicators (SMA, EMA, MACD, RSI, Bollinger Bands). Requires a free API key from alphavantage.co.

日本語の概要は準備中です。原文の説明を表示しています。

foryourhealth111-pixel/Vibe-Skills3,6742026年8月31日 更新

Implement proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design. Use when architecting complex backend systems or refactoring existing applications for better maintainability.

日本語の概要は準備中です。原文の説明を表示しています。

foryourhealth111-pixel/Vibe-Skills3,6742026年8月31日 更新

astropy

無料

Comprehensive Python library for astronomy and astrophysics. This skill should be used when working with astronomical data including celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, world coordinate systems (WCS), and astronomical data analysis. Use when tasks involve coordinate transformations, unit conversions, FITS file manipulation, cosmological distance calculations, time scale conversions, or astronomical data processing.

日本語の概要は準備中です。原文の説明を表示しています。

foryourhealth111-pixel/Vibe-Skills3,6742026年8月31日 更新

foryourhealth111-pixel のスキルをすべて見る

このスキルの問題を報告する