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编程开发 AI 技能

发现 编程开发 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。

分类目录: 编程开发

显示第 59,401–59,424 个,共 81,978 个

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GitHub

daemon-flow

JackPo

Control daemon via WebSocket - run flows, change zombie mode, apply titles. Use for "run flow", "zombie attack", "iron zombie", "gold zombie", "clear zombie mode", "switch to elite", "apply title", "minister of...

GitHub

skill-creator

JackPo

Creates new Claude Code skills with proper structure, frontmatter, and documentation. Use when creating skills, setting up skill templates, or when user says "create a skill", "make a skill", "new skill for".

GitHub

screenshot-detection

JackPo

Take screenshots and detect UI elements. Use when finding click positions, extracting templates, detecting icons, or when user asks "where is", "find the", "click on", "extract template", "detect", "locate". De...

GitHub

run-cpython-tests

ahupp

Run the CPython regression test suite in this repo via scripts/run_cpython_tests.sh with parallel execution, enforce a per-test timeout, capture output to cpython_full_test_run.log, and summarize failures from...

GitHub

fix-test-case

ahupp

Fix a specific failing test case in this repo by identifying the root cause, adding a minimal repro under tests/, explaining the cause, applying a targeted fix, re-running the test, and reporting any new failur...

GitHub

python-monitoring-trace

ahupp

Use when you need a detailed execution trace of a Python script using sys.monitoring, including logging every operation with include/exclude event controls.

GitHub

python-debug

ahupp

Use when you need to inspect detailed execution flow of a Python program, stepping through functions and inspecting variable contents with pdb. Triggers include requests to debug Python scripts, trace execution...

GitHub

summarize-cpython-failures

ahupp

Summarize CPython test failures from cpython_full_test_run.log (and cpython_full_test_run_summary.txt if present), compute passed/total counts for test files and test cases, and group failures by likely root ca...

GitHub

docker-logs-snapshot

jfriisj

Capture a quick, reproducible snapshot of Docker/Compose logs and container state for debugging. Use when smoke tests fail or you need attachable evidence.

GitHub

compose-bringup

jfriisj

Bring up a Docker Compose stack reliably and verify basic service/container status. Use for local smoke tests, live testing, and staging-like bring-up.

GitHub

http-health-smoke

jfriisj

Run quick HTTP health/readiness smoke checks against one or more endpoints. Use to validate a service is up before running deeper E2E tests.

GitHub

multipart-audio-smoke

jfriisj

Smoke test an audio upload endpoint using multipart/form-data. Use for quick end-to-end validation of transcription pipelines.

GitHub

synthetic-wav-sample

jfriisj

Generate a tiny non-sensitive WAV file using only the Python standard library. Use for deterministic smoke tests without committing real user audio.

GitHub

cpu-mode-assertions-torch

jfriisj

Assert CPU-only runtime inside a container using PyTorch (torch.cuda.is_available()==False) and optional env var checks. Use to prevent accidental GPU execution during CPU smoke tests.

GitHub

version-audit-quickscan

jfriisj

Quick scan for version strings across common files (README, pyproject, requirements, package manifests) to avoid release blockers from inconsistent versions. Use before tagging or publishing.

GitHub

python-pytest-run-capture

jfriisj

Run Python pytest suites and capture reproducible evidence (command, environment, output) into agent-output artifacts. Use for QA verification, debugging, and pre-release confidence.

GitHub

codex-plan-mode

astomodynamics

Create comprehensive implementation plans using Codex (GPT 5.2) for complex features. Use when user says "use codex plan mode", "codex plan", "plan with codex", or wants detailed implementation planning with fi...

GitHub

codex-delegation

astomodynamics

Patterns for delegating tasks to Codex CLI (GPT 5.2) experts including bug analysis, code review, and plan revision via the mcp__codex__codex tool.

默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。

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