用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/jaydubya818/New_baseline --skill slfg命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
Personalized coding tutorials that build on your existing knowledge and use your actual codebase for examples. Creates a persistent learning trail that compounds over time using the power of AI, spaced repetition and quizes.
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.
Build applications where agents are first-class citizens. Use this skill when designing autonomous agents, creating MCP tools, implementing self-modifying systems, or building apps where features are outcomes achieved by agents operating in a loop.
基于 SOC 职业分类
正在显示 SKILL.md
| name | slfg |
| description | Full autonomous engineering workflow using swarm mode for parallel execution |
| argument-hint | [feature description] |
| disable-model-invocation | true |
Swarm-enabled LFG. Run these steps in order, parallelizing where indicated. Do not stop between steps — complete every step through to the end.
ralph-loop skill is available, run /ralph-loop:ralph-loop "finish all slash commands" --completion-promise "DONE". If not available or it fails, skip and continue to step 2 immediately./ce:plan $ARGUMENTS/compound-engineering:deepen-plan
deepen-plan workflow only if the plan is Standard or Deep, touches a high-risk area (auth, security, payments, migrations, external APIs, significant rollout concerns), or still has obvious confidence gaps in decisions, sequencing, system-wide impact, risks, or verificationdeepen-plan workflow, confirm the plan was deepened or explicitly judged sufficiently grounded before moving on/ce:work — Use swarm mode: Make a Task list and launch an army of agent swarm subagents to build the planAfter work completes, launch steps 5 and 6 as parallel swarm agents (both only need code to be written):
/ce:review mode:report-only — spawn as background Task agent/compound-engineering:test-browser — spawn as background Task agentWait for both to complete before continuing.
/ce:review mode:autofix — run sequentially after the parallel phase so it can safely mutate the checkout, apply safe_auto fixes, and emit residual todos for step 8/compound-engineering:todo-resolve — resolve findings, compound on learnings, clean up completed todos/compound-engineering:feature-video — record the final walkthrough and add to PR<promise>DONE</promise> when video is in PRStart with step 1 now.