22 skills (repositories by jnMetaCode) · sorted by popularity
Write and revise Chinese technical documentation using consistent spacing, punctuation, terminology, and structure. Includes README.md and API documentation templates, bilingual formatting examples, and a checklist for reviewing documents before publication.
Set up Git workflows for Gitee, Coding.net, 极狐 GitLab, and CNB with platform-specific connection and authentication examples. Choose branching rules, standardize Chinese commit messages, and adapt automated testing and deployment configurations to your team's workflow.
Verify work before reporting completion, committing changes, or creating a pull request. Run the checks that support each claim, inspect their output and exit codes, and report the actual results rather than relying on assumptions or agent reports.
Execute an implementation plan by assigning each independent task to a fresh helper agent in sequence. Review specification compliance and code quality after each task, track decisions in files, and finish with a review of the entire branch.
Standardize Chinese Git commit messages and changelogs using Conventional Commits, a structured message format. The skill provides writing rules and configuration examples for message checks, interactive commit entry, and automatic changelog generation.
Review AI agent session logs to document repeated work, departures from plans, delays, and token usage. Produce an evidence-based report with file and line references, and prepare a bug report when appropriate.
Investigate independent bugs or test failures concurrently by assigning each problem area to a separate agent. Define clear boundaries and expected reports, then review the fixes, check for conflicts, and run the full test suite before integration.
Finish completed development work by verifying tests and the target branch, then choosing a local merge, a pull request, or leaving things unchanged. Cleanup follows the chosen action and respects who manages the working directory.
Build MCP servers that connect AI assistants to external services and data. This skill guides tool design, input validation, error handling, testing, and distribution, with implementation examples for TypeScript and Python.
Helps an agent evaluate code review feedback against the actual codebase before making changes. It covers clarifying unclear requests, explaining technical disagreements, prioritizing fixes, and testing each change for regressions.
Organizes a code review by giving a reviewer subagent the requirements, a change summary, and the relevant Git commits. It helps check completed work and handle findings by severity before continuing or merging.
Guides feature development and bug fixes through test-driven development: write a test, confirm the expected failure, then add the minimum code to pass. It also covers refactoring and checking the full test suite.
Prepare a separate Git working directory for feature development, then install project dependencies and run baseline tests. Check for existing isolation first, use native worktree tools when available, and otherwise fall back to Git.
Guides an agent in choosing and invoking relevant skills before responding or acting. It defines workflow priorities, points to environment-specific references, and distinguishes reference skills that should load only when explicitly requested.
Run a YAML workflow, a file defining tasks and roles, using the AI in the current session. Resolve inputs and step dependencies, carry out each role's work, and save individual outputs and the final result.
Investigate bugs, failing tests, and unexpected behavior through reproducible steps, logs, and comparisons with working code. Follow four stages to identify the root cause, test a hypothesis, apply a focused fix, and verify the result.
Carry out an existing implementation plan one task at a time in the current session. Verify each task with tests, record progress and decisions in a file, and review the whole branch after implementation.
Turn development requirements into an implementation plan with specific files, function signatures, tests, and verification commands. Use it before coding to document decisions and divide the work into independently testable tasks.
Write Chinese code review feedback that clearly distinguishes required fixes, suggestions, and optional advice. Use question and suggestion templates, organize review summaries, and follow guidance for mixed Chinese-English comments and commit messages.
Turn development ideas into agreed designs through focused conversation. The skill clarifies goals, constraints, and success criteria, then chooses a process for feasibility research, small changes, or new systems before implementation begins.
Create and improve agent skills by testing behavior before and after adding guidance. The skill applies test-driven development to SKILL.md documents, covering structure, discovery descriptions, supporting files, and checks that reveal unclear or ineffective instructions.
Generate cinematic AI shortfilm prompts (works with Seedance 2.0, Xiaoyunque, Sora, Kling, Jimeng, Veo) using the 5-stage structure from Mx-Shell's Zombie Scavenger. Trigger when the user wants transformation sequences, multi-shot narrative shorts, weapon-charge/combat segments, emotional family/pet/farewell narratives (催泪/亲情/萌宠/离别), or any cinematic video prompt.
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