Skip to content
Agentmart
Submit a tool

build

Build a project by implementing the next most important task.

Skill by JohnCrickett

IndexedMIT★ 16
Write a review

Chalk Labs

Need help deploying build?

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.

Book a call

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/johncrickett-build

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.

We use your email only for this newsletter. Privacy

About

Build a project by implementing the next most important task.

Use cases: productivity

No 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/build

What's inside

Skill name
build
Description
Build a project by implementing the next most important task.
License
MIT
Instructions
20 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Build

## Instructions
1. Read specs/prd.md for an overview of the project. 
2. Read plans/plan.md, pick the next most important task and read the relevant specification from the specs directory.
3. If it exists, read memory/learnings.md.
4. After reading the specification create a set of tests to verify the implementation behaves correctly. 
5. Then create the code required to meet the specification. Verify the functionality is correct using the tests.
6. Before marking the task as done in plans/plan.md ensure the code builds and lints without issue. All tests must pass.
7. If you learn anything that will be needed for future tasks, record it in memory/learnings.md.
8. Stop after completing one task.

## Examples

Build.
Do the next task.
Let's build it.
Go build.

From JohnCrickett/ai-coding-workflow, MIT.

Signals

Stars
16
Forks
1
Open issues
0
Last commit (this folder)
Mar 30, 2026 (7 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from JohnCrickett

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 build 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.

Goes to the Chalk Labs founders, not the newsletter. Privacy

Need help deploying build?

CallGet help
Cite this page

build skill. Agent Mart. https://agentmart.dev/skills/johncrickett-build (last updated 2026-10-24)