From partme-ai-full-stack-skills
Generates structured feature specs from natural language descriptions by creating numbered git branches, populating templates with user stories, functional requirements, success criteria, and running quality validation.
npx claudepluginhub partme-ai/full-stack-skills --plugin t2ui-skillsThis skill uses the workspace's default tool permissions.
- The user wants a new or updated feature spec from a natural language description.
Creates isolated Git worktrees for feature branches with prioritized directory selection, gitignore safety checks, auto project setup for Node/Python/Rust/Go, and baseline verification.
Executes implementation plans in current session by dispatching fresh subagents per independent task, with two-stage reviews: spec compliance then code quality.
Dispatches parallel agents to independently tackle 2+ tasks like separate test failures or subsystems without shared state or dependencies.
.specify/ scripts and templates.If the description is missing or unclear, ask a targeted question before continuing.
The user's feature description in the request is the input. Do not ask them to repeat it unless it is missing.
Given that feature description, do this:
Generate a concise short name (2-4 words) for the branch:
Check for existing branches before creating new one:
a. First, fetch all remote branches to ensure we have the latest information:
git fetch --all --prune
b. Find the highest feature number across all sources for the short-name:
git ls-remote --heads origin | grep -E 'refs/heads/[0-9]+-<short-name>$'git branch | grep -E '^[* ]*[0-9]+-<short-name>$'specs/[0-9]+-<short-name>c. Determine the next available number:
d. Run the script .specify/scripts/bash/create-new-feature.sh --json "<feature description>" with the calculated number and short-name:
--number N+1 and --short-name "your-short-name" along with the feature description.specify/scripts/bash/create-new-feature.sh --json --number 5 --short-name "user-auth" "Add user authentication".specify/scripts/bash/create-new-feature.sh -Json -Number 5 -ShortName "user-auth" "Add user authentication"IMPORTANT:
Load .specify/templates/spec-template.md to understand required sections.
Follow this execution flow:
Write the specification to SPEC_FILE using the template structure, replacing placeholders with concrete details derived from the feature description (arguments) while preserving section order and headings.
Specification Quality Validation: After writing the initial spec, validate it against quality criteria:
a. Create Spec Quality Checklist: Generate a checklist file at FEATURE_DIR/checklists/requirements.md using the checklist template structure with these validation items:
# Specification Quality Checklist: [FEATURE NAME]
**Purpose**: Validate specification completeness and quality before proceeding to planning
**Created**: [DATE]
**Feature**: [Link to spec.md]
## Content Quality
- [ ] No implementation details (languages, frameworks, APIs)
- [ ] Focused on user value and business needs
- [ ] Written for non-technical stakeholders
- [ ] All mandatory sections completed
## Requirement Completeness
- [ ] No [NEEDS CLARIFICATION] markers remain
- [ ] Requirements are testable and unambiguous
- [ ] Success criteria are measurable
- [ ] Success criteria are technology-agnostic (no implementation details)
- [ ] All acceptance scenarios are defined
- [ ] Edge cases are identified
- [ ] Scope is clearly bounded
- [ ] Dependencies and assumptions identified
## Feature Readiness
- [ ] All functional requirements have clear acceptance criteria
- [ ] User scenarios cover primary flows
- [ ] Feature meets measurable outcomes defined in Success Criteria
- [ ] No implementation details leak into specification
## Notes
- Items marked incomplete require spec updates before the speckit-clarify or speckit-plan skills
b. Run Validation Check: Review the spec against each checklist item:
c. Handle Validation Results:
If all items pass: Mark checklist complete and proceed to step 6
If items fail (excluding [NEEDS CLARIFICATION]):
If [NEEDS CLARIFICATION] markers remain:
Extract all [NEEDS CLARIFICATION: ...] markers from the spec
LIMIT CHECK: If more than 3 markers exist, keep only the 3 most critical (by scope/security/UX impact) and make informed guesses for the rest
For each clarification needed (max 3), present options to user in this format:
## Question [N]: [Topic]
**Context**: [Quote relevant spec section]
**What we need to know**: [Specific question from NEEDS CLARIFICATION marker]
**Suggested Answers**:
| Option | Answer | Implications |
| ------ | ------------------------- | ------------------------------------- |
| A | [First suggested answer] | [What this means for the feature] |
| B | [Second suggested answer] | [What this means for the feature] |
| C | [Third suggested answer] | [What this means for the feature] |
| Custom | Provide your own answer | [Explain how to provide custom input] |
**Your choice**: _[Wait for user response]_
CRITICAL - Table Formatting: Ensure markdown tables are properly formatted:
| Content | not |Content||--------|Number questions sequentially (Q1, Q2, Q3 - max 3 total)
Present all questions together before waiting for responses
Wait for user to respond with their choices for all questions (e.g., "Q1: A, Q2: Custom - [details], Q3: B")
Update the spec by replacing each [NEEDS CLARIFICATION] marker with the user's selected or provided answer
Re-run validation after all clarifications are resolved
d. Update Checklist: After each validation iteration, update the checklist file with current pass/fail status
Report completion with branch name, spec file path, checklist results, and readiness for the next phase (speckit-clarify or speckit-plan).
NOTE: The script creates and checks out the new branch and initializes the spec file before writing.
specs/<feature>/spec.mdspecs/<feature>/checklists/requirements.md.specify/scripts/bash/create-new-feature.shAfter generating the spec:
When creating this spec from a user prompt:
Examples of reasonable defaults (don't ask about these):
Success criteria must be:
Good examples:
Bad examples (implementation-focused):