quick-implement

buiducnhat/agent-skills · updated Apr 8, 2026

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$npx skills add https://github.com/buiducnhat/agent-skills --skill quick-implement
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summary

Implement small features or bug fixes directly, with strict scope control and verification.

skill.md

Quick Implement

Purpose

Implement small features or bug fixes directly, with strict scope control and verification.

Use this skill for speed only when risk is low and requirements are clear.

Scope Gate (Required Before Coding)

Treat a task as quick-implement eligible only if all conditions below are true:

  1. Clear requirement

    • Expected behavior is explicit
    • No major product/architecture ambiguity
  2. Small change surface

    • Usually touches a small number of files (rough guideline: <= 5 files)
    • No broad cross-module refactor
  3. Low architectural risk

    • No foundational redesign
    • No migration-heavy change
    • No multi-phase rollout dependency
  4. Straightforward verification

    • Can validate with targeted tests/checks quickly
    • No long exploratory debugging loop required

If any condition fails, escalate to write-plan.

Hard Stop Escalation Criteria

Immediately stop quick implementation and switch to planning when any of these appear:

  • Requirement ambiguity that needs design decisions
  • Unexpected coupling across multiple subsystems
  • Significant data model or schema changes
  • Security-sensitive or compliance-critical changes
  • Performance work requiring benchmarks/design trade-offs
  • Refactor growing beyond original small scope
  • Repeated failed attempts without a clear root cause
  • Need for phased delivery, feature flags, or migration strategy

Escalation action:

  1. Stop all coding activities immediately.
  2. Output the exact message: "This change exceeds rapid-implementation safety limits. Recommend write-plan first to define phased execution and risk controls."
  3. Use Question Tool to ask the user if they want to initiate a handoff to the write-plan skill.

Workflow

Step 1: Analyze and Contextualize

  1. Understand the user request and define acceptance criteria.
  2. Load project context per the shared Context Loading Protocol.
  3. Inspect only the minimum necessary code paths.
  4. Confirm the task still passes the Scope Gate.
  5. If ambiguity remains, ask clarifying questions before coding. Follow the Question Tool mandate.

Step 2: Implement

  1. Make the smallest correct change to satisfy requirements.
  2. Reuse existing patterns and conventions.
  3. Avoid opportunistic refactors unrelated to the request.
  4. Keep changes idempotent and safe to rerun when applicable.

Step 3: Verify

Run proportional validation for the change using the appropriate execution tools:

  1. Targeted tests related to modified behavior
  2. Relevant lint/type checks for touched areas
  3. Build or runtime verification if applicable

If verification fails unexpectedly:

  • Attempt focused fixes if clearly local.
  • If failures suggest broader impact, immediately escalate to write-plan.

Step 4: Complete

  1. Summarize what changed and why.
  2. List modified files.
  3. Report verification commands and outcomes.
  4. Update documentation if minor behavior or domain rules changed (e.g., small updates to docs/project-pdr.md or component specific readmes). Do not touch architecture docs; if architecture changed, this task should have been escalated.

Execution Boundaries

  • Do not expand scope without explicit user approval.
  • Do not assume unspecified behavior; clarify instead.
  • Do not force completion when risk increases—escalate early.
  • Escalate to write-plan when complexity or risk exceeds quick-implement limits.
  • Use fix when the task is primarily debugging an issue.

Output Checklist

Before final response, confirm:

  • Scope Gate was satisfied
  • No hidden architectural changes were introduced
  • Verification was run and reported
  • Escalation was used if safety limits were exceeded
how to use quick-implement

How to use quick-implement on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add quick-implement
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/buiducnhat/agent-skills --skill quick-implement

The skills CLI fetches quick-implement from GitHub repository buiducnhat/agent-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/quick-implement

Reload or restart Cursor to activate quick-implement. Access the skill through slash commands (e.g., /quick-implement) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.639 reviews
  • Dhruvi Jain· Dec 28, 2024

    quick-implement is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Amina Choi· Dec 16, 2024

    Useful defaults in quick-implement — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Oshnikdeep· Nov 19, 2024

    Keeps context tight: quick-implement is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Michael Huang· Nov 7, 2024

    quick-implement has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Kofi Rahman· Oct 26, 2024

    Keeps context tight: quick-implement is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Ganesh Mohane· Oct 6, 2024

    quick-implement has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Kofi Abbas· Sep 25, 2024

    Keeps context tight: quick-implement is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Rahul Santra· Sep 17, 2024

    quick-implement reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Ishan Sethi· Sep 13, 2024

    Registry listing for quick-implement matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Michael Kim· Aug 16, 2024

    quick-implement has been reliable in day-to-day use. Documentation quality is above average for community skills.

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