spec
Start spec-driven development — write a structured specification before writing code
Skill by Qiuyi-Hong
Chalk Labs
Need help deploying spec?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/qiuyi-hong-spec
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: writing
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/spec
What's inside
- Skill name
spec- Description
- Start spec-driven development — write a structured specification before writing code
- License
- MIT
- Instructions
- 18 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
<!-- Generated from upstream/agent-skills/.claude/commands/spec.md by scripts/generate-command-skills.ts; do not edit. --> > **Pi compatibility:** Upstream `/command` references map to generated `/skill:command` skills. `agent-skills:<name>` refers to the bundled Pi skill `<name>` (`/skill:<name>`). Invoke the agent-skills:spec-driven-development skill. Begin by understanding what the user wants to build. Ask clarifying questions about: 1. The objective and target users 2. Core features and acceptance criteria 3. Tech stack preferences and constraints 4. Known boundaries (what to always do, ask first about, and never do) Then generate a structured spec covering all six core areas: objective, commands, project structure, code style, testing strategy, and boundaries. If the request bundles several independently testable capabilities, first propose a capability map (module ids, dependency direction, build order) per the skill's Phase 0 and get it approved, then spec each module in dependency order. Save the spec as SPEC.md in the project root and confirm with the user before proceeding.
From Qiuyi-Hong/pi-addyosmani-skills, MIT.
More from Qiuyi-Hong/pi-addyosmani-skills
- 0.558score
ship
Qiuyi-Hong
Run the pre-launch checklist via parallel fan-out to specialist personas, then synthesize a go/no-go decision
SkillAFreshness: AClaude Code +9 - 0.558score
build
Qiuyi-Hong
Implement tasks incrementally — build, test, verify, commit.
SkillAFreshness: AClaude Code +9 - 0.558score
constraints
Qiuyi-Hong
Define and enforce this project's quality bar — interview, sane defaults, CONSTRAINTS.md
SkillAFreshness: AClaude Code +9 - 0.558score
code-simplify
Qiuyi-Hong
Simplify code for clarity and maintainability — reduce complexity without changing behavior
SkillAFreshness: AClaude Code +9 - 0.553score
review
Qiuyi-Hong
Conduct a five-axis code review — correctness, readability, architecture, security, performance
SkillAFreshness: AClaude Code +9 - 0.553score
plan
Qiuyi-Hong
Break work into small verifiable tasks with acceptance criteria and dependency ordering
SkillAFreshness: AClaude Code +9 - 0.528score
test
Qiuyi-Hong
Run TDD workflow — write failing tests, implement, verify.
SkillAFreshness: AClaude Code +9
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Sep 22, 2026 (1 month ago)
- Last release
- Sep 28, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from Qiuyi-Hong
- 0.558score
ship
Qiuyi-Hong
Run the pre-launch checklist via parallel fan-out to specialist personas, then synthesize a go/no-go decision
SkillAFreshness: AClaude Code +9 - 0.558score
build
Qiuyi-Hong
Implement tasks incrementally — build, test, verify, commit.
SkillAFreshness: AClaude Code +9 - 0.558score
constraints
Qiuyi-Hong
Define and enforce this project's quality bar — interview, sane defaults, CONSTRAINTS.md
SkillAFreshness: AClaude Code +9 - 0.558score
code-simplify
Qiuyi-Hong
Simplify code for clarity and maintainability — reduce complexity without changing behavior
SkillAFreshness: AClaude Code +9 - 0.553score
review
Qiuyi-Hong
Conduct a five-axis code review — correctness, readability, architecture, security, performance
SkillAFreshness: AClaude Code +9 - 0.553score
plan
Qiuyi-Hong
Break work into small verifiable tasks with acceptance criteria and dependency ordering
SkillAFreshness: AClaude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get spec running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
spec skill. Agent Mart. https://agentmart.dev/skills/qiuyi-hong-spec (last updated 2026-10-24)