pradeepmouli/speckit-workflows.baseline

Speckit Workflows.Baseline Skill

<!-- Extension: workflows --> <!-- Config: .specify/extensions/workflows/ -->

The user input to you can be provided directly by the agent or as a command argument - you MUST consider it before proceeding with the prompt (if not empty).

User input:

$ARGUMENTS

What This Does

The baseline workflow creates foundational documentation by:

1. Establishing a comprehensive baseline specification of the project
2. Creating a change tracking document for all subsequent modifications

This provides essential context for you (the AI agent) when working on future tasks.

Your Task

1. Run the script .specify/extensions/workflows/scripts/bash/create-baseline.sh --json from repo root and parse its JSON output for BASELINE_SPEC, CURRENT_STATE, BASELINE_COMMIT, and HAS_EXISTING_SPECS. All file paths must be absolute. Note: The script only accepts the --json flag and ignores $ARGUMENTS. IMPORTANT You must only ever run this script once. The JSON is provided in the terminal as output - always refer to it to get the actual content you're looking for.

2. Analyze the Project:

   a. If HAS_EXISTING_SPECS is "true":

   • The baseline commit represents the project state BEFORE spec-kit was used
   • Use git show BASELINE_COMMIT:path/to/file to examine files at that point
   • Analyze that historical state to document what existed before specs

   b. If HAS_EXISTING_SPECS is "false":

   • Analyze the current project state
   • This is a fresh baseline for future work

3. Generate baseline-spec.md:

   Load .specify/extensions/workflows/templates/baseline/baseline-spec-template.md to understand the structure.

   Then comprehensively analyze the codebase (at the baseline commit if applicable) and fill in BASELINE_SPEC with:

   • Executive Summary: High-level overview of project purpose
   • Project Structure: Directory layout and key components
   • Architecture: System design, technology stack, patterns
   • Core Functionality: Primary features and user workflows
   • Data Model: Core entities and their relationships
   • External Dependencies: Third-party libraries and external services
   • Build and Deployment: Build process, testing strategy, deployment
   • Configuration: Environment variables, feature flags
   • Known Issues: Current limitations and technical debt
   • Future Considerations: Planned improvements and scalability concerns

   Be thorough - examine:

   • Package files (package.json, requirements.txt, pom.xml, etc.)
   • Build configurations (webpack, vite, Makefile, etc.)
   • Source code structure and key modules
   • README, documentation files
   • Configuration files
   • Database schemas or migrations
   • API routes/endpoints
   • Test files to understand tested functionality

4. Generate current-state.md:

   Load .specify/extensions/workflows/templates/baseline/current-state-template.md for structure.

   Scan the specs directory and enumerate all changes by type:

   • Features: List all specs/###-* directories with descriptions
   • Modifications: Find specs/###-*/modifications/ subdirectories
   • Bugfixes: List specs/bugfix/ entries
   • Refactors: List specs/refactor/ entries
   • Hotfixes: List specs/hotfix/ entries
   • Deprecations: List specs/deprecate/ entries

   For unspecified changes (if HAS_EXISTING_SPECS is true):

   • Compare commits from BASELINE_COMMIT to HEAD
   • Identify commits not associated with spec directories

   Calculate statistics:

   • Counts for each workflow type
   • Total commits, files changed, lines added/removed
   • Specification coverage percentage

5. Report completion:

Baseline documentation created

**Location**: specs/history/
**Baseline Spec**: [BASELINE_SPEC path]
**Current State**: [CURRENT_STATE path]

{{If HAS_EXISTING_SPECS is true:}}
**Baseline Commit**: [BASELINE_COMMIT]
Note: Baseline represents project state before first spec-kit usage
{{end if}}

**What Was Documented:**

**Baseline Specification**:
- Project structure: [X] components identified
- Technology stack: [Languages/Frameworks]
- Core features: [X] primary features documented
- Architecture: [Brief architecture summary]

**Current State**:
- Features: [X] implemented
- Modifications: [X] tracked
- Bugfixes: [X] fixed
- Other workflows: [X] total
{{If unspecified changes found}}
- Unspecified: [X] commits without specs
{{end if}}

**Using This Context:**

The baseline documentation will help me (your AI assistant) understand:
- What the project does and how it's structured
- What has been built and modified
- Where technical debt exists
- What patterns and conventions to follow

This context will improve my suggestions for all future work.

**Next Steps:**
1. Review the generated documentation for accuracy
2. Make any corrections or additions to baseline-spec.md
3. Use this context when creating new specs with other workflows
4. Periodically update current-state.md as new specs are completed

Important Notes

• Do not create a git branch - This is a documentation task
• Be comprehensive - The baseline is foundational context for all future work
• Analyze deeply - Don't just list files, understand what they do
• Track everything - In current-state.md, account for all changes
• Update timestamps - Replace {{DATE}} placeholders with actual dates
• Link to sources - Reference specific files and line numbers where relevant

Quality Checks

Before finishing:

• [ ] baseline-spec.md covers all major aspects of the project
• [ ] Technology stack is accurately documented
• [ ] Core features are clearly described
• [ ] current-state.md accounts for all spec directories
• [ ] Statistics are calculated and included
• [ ] Both files use the provided template structure
• [ ] All placeholders are replaced with actual content