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TapTap

Official

@taptap · Singapore

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78Public Repos
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41Published Skills

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Skills Distribution
DomainDeveloper To...Quality Assurance .. (40%)Software Developme.. (30%)Git Repository & V.. (20%)Documentation & Kn.. (10%)

Agent Skills by TapTap

Showing 41 vetted skills indexed across 2 GitHub repositories.

taptaptaptap

unit-test-design

Generate executable unit tests from source code and module directories.

Official
Advanced
taptaptaptap

shared-tools

Fetch Feishu docs, GitLab MRs, GitHub PRs, and MeterSphere data into Markdown or JSON.

Official
Intermediate
taptaptaptap

requirement-clarification

Extract scope, constraints, and success criteria through structured questions.

Official
Advanced
taptaptaptap

integration-test-design

Generate executable integration tests from API specs and module paths.

Official
Advanced
taptaptaptap

test-failure-analyzer

Analyze test failures and generate failure_analysis.json and action_plan.md.

Official
Advanced
taptaptaptap

requirement-review

Review requirement documents and generate structured Go/No-Go decision artifacts.

Official
Advanced
taptaptaptap

test-case-review

Review test cases against requirement documents and generate JSON and markdown reports.

Official
Advanced
taptaptaptap

metersphere-sync

Synchronize AI-generated test cases and verification data to MeterSphere.

Official
Advanced
taptaptaptap

feedback

Analyze Slack feedback and generate structured bug reports.

Official
Advanced
taptaptaptap

bug-fix-review

Analyze bug reports and code changes to generate root cause and risk assessments.

Official
Advanced
taptaptaptap

api-contract-validation

Validate frontend and backend API contract consistency and generate a structured report.

Official
Advanced
taptaptaptap

requirement-traceability

Maps requirements to code changes and generates traceability, coverage, and risk reports.

Official
Advanced
taptaptaptap

qa-workflow

Orchestrate end-to-end QA workflows with conditional UI and API checks.

Official
Advanced
taptaptaptap

test-case-generation

Generate structured JSON test cases from requirement documents with confidence scores.

Official
Advanced
taptaptaptap

ui-fidelity-check

Compare Figma designs with front-end implementations and output ui_fidelity_report.json.

Official
Advanced
taptaptaptap

change-analysis

Analyze code changes to assess functional impact and test coverage.

Official
Advanced
taptaptaptap

verification-test-generation

Generate verification test cases from requirements and code changes.

Official
Advanced
taptaptaptap

plugin-status

Inspect Claude plugin and environment configuration and output a status table.

Official
Intermediate
taptaptaptap

grafana-dashboard-design

Design deployable Grafana dashboard and panel configurations as JSON modifications.

Official
Intermediate
taptaptaptap

codex-statusline

Install and configure the Codex statusline across tmux, iTerm2, and the Codex TUI.

Official
Intermediate
taptaptaptap

feishu-bot-card

Send Feishu schema 2.0 interactive cards with markdown tables via webhook.

Official
Intermediate
taptaptaptap

mcp-feishu-project

Configure Feishu project MCP connectors in Claude Code user scope.

Official
Intermediate
taptaptaptap

git-commit

Create standardized git commits with Task IDs from branch names or user input.

Official
Intermediate
taptaptaptap

git-remote-operations

Manage Git remote PRs, issues, and CI/CD pipelines via gh or glab CLIs.

Official
Intermediate

Frequently Asked Questions About TapTap

FAQPage Schema
What specific engineering tasks are enabled by these modules?

These modules enable structured SDLC artifact generation, automated unit and integration test design, API contract validation, and cross-platform synchronization between project management systems like Feishu, GitLab, and MeterSphere.

Which technical personas benefit from these capabilities?

Software engineers, QA analysts, and DevOps practitioners benefit from these modules by streamlining Git operations, ensuring requirement-to-code traceability, and maintaining consistent documentation across multi-plugin repositories.

What are the prerequisites for implementing these modules?

Implementation requires a configured environment supporting Claude Code or Cursor, access to GitLab or GitHub repositories, and established connectivity to Feishu or MeterSphere instances for data synchronization.