scosman/vibe-crafting/skill
Claude Code and agent skill by scosman/vibe-crafting
- community
Checking that the SKILL.md file is still in the repository.
Commands: new_project, continue, implement, task, research (research a topic on the web), cr (code review), deep cr (multi-phase code review), design crit (multi-phase spec review), pr (address PR feedback), setup, or open guidance Spec-driven development: process for planning, building, and reviewing code projects using structured specifications. Guides users from project idea through functional spec, architecture, phased implementation, and code review — with human focused on decisions and AI agents handling drafting and building. Use when the user wants to: start a new project with specs, continue speccing or implementing a project, implement a planned phase, run a quick task without a full spec, research a topic on the web (standalone or to inform a spec), review code against specs, or set up spec-driven development in a repo.
Install
npx vskill@latest install scosman/vibe-crafting/skillSKILL.md
Spec-Driven Development
A structured process for building software projects with specifications. You (the human) focus on decisions and review; AI agents handle drafting and building.
How It Works
Every batch of work ("project") gets a spec folder under /specs/projects/PROJECT_NAME/. The skill guides you through:
- Planning: Project overview → functional spec → architecture → implementation plan
- Building: Implement phases autonomously, with code review built into each phase
- Reviewing: Spec-aware code review that verifies implementation matches design
The skill is project-agnostic. It provides the process; your project-specific conventions (test commands, linting, style) come from your system prompt configuration.
If This Conversation Was Compacted
The command references below hold the role definitions, process gates and prompt templates for each command. Compaction restores only this file — not them. If this conversation has been compacted part-way through a command, re-read that command's reference file before your next action.
When compacting, preserve: this instruction, which /spec command is running, which phase and step it is on, and the handles of any sub-agents you hold — the coding agent's agent ID in particular, since you resume it for review feedback and commit.
During /spec implement, /spec task and /spec pr you are a manager: you spawn and resume sub-agents, triage review findings, run git, and print progress blocks. You do not write code, run tests, review code, or commit. Every coding round — including one that addresses review feedback — is code-reviewed before commit.
Command Reference
/spec setup
One-time (or incremental) setup for using the skill in a repo. Adds .specs_skill_state/ to gitignore, creates /specs/projects/ directories, detects monorepo layout, and checks for commonly-needed configuration.
→ Read setup command reference
/spec new_project or /spec new
Create a new project from scratch. Walks through planning steps: project overview, functional spec, architecture (with optional component designs), and implementation plan. Sets this as your active project.
→ Read new project command reference
/spec continue or /spec cont
Resume work on the active project. Shows current state and routes to the next logical action — continue speccing, implement next phase, or review code.
→ Read continue command reference
/spec implement or /spec impl
Implement the active project. Routes to phase-specific or full implementation. Use /spec implement next for one phase, /spec implement all for all remaining, or /spec implement phase N for a specific phase.
→ Read implement command reference
/spec task
Implement a one-off task without a full spec. Describe what you want inline and get the same implement loop (coding agent, code review, commit) without planning artifacts.
→ Read task command reference
/spec research
Research a topic on the web. Splits the topic into subtopics, runs a research sub-agent on each, and writes a tree of research docs under a single summary. Requires web search and web fetch tools. Runs standalone, or embedded in /spec new_project when a spec depends on knowledge you don't have yet.
→ Read research command reference
/spec pr
Address review feedback from a GitHub pull request. Finds the PR for the current branch, fetches unresolved comments, spawns a coding agent to address them, runs the standard code review and triage, commits, pushes, and replies to each comment thread on GitHub.
→ Read PR feedback command reference
/spec cr or /spec code_review
Structured, spec-aware code review. Reviews git diff by default, or a specified scope. Always runs as a sub-agent with clean context.
→ Read code review command reference
/spec deep cr or /spec deep review
Multi-phase agentic code review. Compares current branch against its fork point, designs review phases tailored to the diff, runs focused sub-agents per phase, and produces persistent review artifacts.
→ Read deep code review command reference
/spec design crit or /spec crit
Multi-phase agentic review of spec/design documents. Identifies design concerns, runs focused sub-agents per concern area, produces persistent review artifacts, and offers an interactive resolution phase to triage and fix issues found.
→ Read design crit command reference
Bare /spec — Router
Reads current state (active project, artifact statuses) and presents relevant options. Never requires routing — direct commands always work. Can also interpret open-ended requests.
To check state: read .specs_skill_state/current_project.md and scan artifact frontmatter. Always show /spec task as an available option. If no project exists, suggest new_project, task, or setup. If project in progress, show state and suggest the next action.
If the request is about learning or understanding something rather than building it — "what's the current state of the OpenEnv standard?", "how does Stripe's webhook retry work?", "which library should we use for Z?" — route to /spec research. Also suggest it when a user's project idea depends on an external standard, API, or library that neither of you can describe accurately from memory.
Not a command: shared/backlog_phase.md — an interactive process for deciding a queue of open questions with the user. Written for the Backlog phase of /spec implement; reusable wherever a flow needs a batch of decisions.
Project Structure
Every project lives under /specs/projects/PROJECT_NAME/:
| File | Created During | Purpose | |
|---|---|---|---|
project_overview.md | new_project Step 1 | Your description of what to build | |
functional_spec.md | new_project Step 2 | Features, behaviors, edge cases, contracts | |
ui_design.md | new_project Step 3 | UI structure, screens, navigation (conditional) | |
architecture.md | new_project Step 4 | Technical design, deep enough for coding | |
/components/NAME.md | new_project Step 5 | Per-component detailed design (conditional) | |
implementation_plan.md | new_project Step 6 | Phased build order as checklist | |
/phase_plans/phase_N.md | Implementation | Per-phase plan written by coding agent | |
backlog.md | Implementation (conditional) | Issues in already-committed work, found during review; adds a final Backlog phase | |
/research/[topic]/ | Any planning step (conditional) | Web research informing the specs |
Research Folders
Research output lives in a folder per topic, with a research_summary.md at its root linking to per-subtopic summaries, which link to deep docs:
| Invocation | Working folder | |
|---|---|---|
Standalone /spec research [topic] | /specs/research/[topic]/ | |
During /spec new_project | /specs/projects/PROJECT_NAME/research/[topic]/ |
Research folders have no frontmatter status and are outside the artifact dependency chain — they're inputs to speccing, not spec artifacts.
Artifact Conventions
All spec files use YAML frontmatter with a status field:
Valid statuses: draft, complete.
- Artifacts start as
draftwhen created - Mark
completeafter user confirmation - If a completed artifact is edited, downstream artifacts cascade to
draft(if they may be affected)
Dependency chain: project_overview → functional_spec → architecture → components → implementation_plan
Phase plans are outside the cascade — generated fresh during implementation.
Modes
The skill operates in two modes:
- Project mode: Full spec planning → phased implementation. Use for anything that benefits from upfront design — new features, complex changes, multi-phase work.
- Task mode: Inline description → single-pass implementation. Use for well-understood, small-to-medium changes — bug fixes, small features, refactors.
Both modes use the same implement loop (coding agent → code review → commit). Task mode skips the spec planning steps.
State Management
The file .specs_skill_state/current_project.md (git-ignored) tracks your active work:
or for tasks:
Task files live at .specs_skill_state/tasks/[slug].md.
This file is per-worktree (git-ignored), so you can have parallel worktrees with different active work.
Monorepo Support
For monorepos (multiple sub-projects in one repo):
/spec setupdiscovers sub-projects by scanning for root markers (pyproject.toml,package.json, etc.)- Each sub-project gets its own
/specs/projects/directory /specs/monorepo.mdat repo root describes the layout- Cross-project work lives at root
/specs/projects/
→ See /spec setup for discovery and setup.
Extensibility
The skill provides the process. Project-specific details come from your environment:
From the skill: The workflow, general guidance ("run automated checks"), persona-driven quality standards
From your system prompt: Test commands, lint/format commands, code style, CR standards, project-specific constraints
The skill references these generically: "run the project's automated checks" not "run uv run ./checks.sh."
→ See /spec setup for help configuring external knowledge.
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskill/SKILL.md
Popularity
- Repository stars
- 64
- Repository forks
- 2
- 7-day trend score
- 21
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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