Swarm-mode enabled autonomous engineering for parallel task execution.
Install
mkdir -p .claude/skills/slfg && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/10077" && unzip -o skill.zip -d .claude/skills/slfg && rm skill.zipInstalls to .claude/skills/slfg
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Full autonomous engineering workflow using swarm mode for parallel executionKey capabilities
- →Plan engineering tasks
- →Parallelize implementation
- →Review code in background
- →Test in background
- →Resolve todos
How it works
It uses swarm mode to parallelize review and testing tasks after the initial implementation phase.
Inputs & outputs
When to use slfg
- →Large-scale feature implementation
- →Parallelized development tasks
- →Rapid feature delivery
About this skill
Swarm-enabled LFG. Run these steps in order, parallelizing where indicated. Do not stop between steps — complete every step through to the end.
Sequential Phase
- Optional: If the
ralph-loopskill 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- Conditionally run
/compound-engineering:deepen-plan- Run the
deepen-planworkflow only if the plan isStandardorDeep, 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 verification - If you run the
deepen-planworkflow, confirm the plan was deepened or explicitly judged sufficiently grounded before moving on - If you skip it, note why and continue to step 4
- Run the
/ce:work— Use swarm mode: Make a Task list and launch an army of agent swarm subagents to build the plan
Parallel Phase
After work completes, launch steps 5 and 6 as parallel swarm agents (both only need code to be written):
/ce:review— spawn as background Task agent/compound-engineering:test-browser— spawn as background Task agent
Wait for both to complete before continuing.
Finalize Phase
/compound-engineering:resolve-todo-parallel— resolve findings, compound on learnings, clean up completed todos/compound-engineering:feature-video— record the final walkthrough and add to PR- Output
<promise>DONE</promise>when video is in PR
Start with step 1 now.
When not to use it
- →Stopping between steps
Limitations
- →Do not stop between steps
How it compares
It parallelizes the review and testing phases to accelerate feature delivery.
Compared to similar skills
slfg side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| slfg (this skill) | 0 | 4mo | No flags | Advanced |
| agent-factory | 8 | 9mo | Review | Advanced |
| subagent-driven-development | 14 | 7mo | No flags | Advanced |
| continuous-learning-v2 | 10 | 2mo | Review | Advanced |
Try saying
Example prompts that trigger this skill in your AI assistant.
More by PackRat-AI
View all by PackRat-AI →You might also like
agent-factory
alirezarezvani
Claude Code agent generation system that creates custom agents and sub-agents with enhanced YAML frontmatter, tool access patterns, and MCP integration support following proven production patterns
subagent-driven-development
davila7
Use when executing implementation plans with independent tasks in the current session
continuous-learning-v2
affaan-m
Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents.
agent-skill-creator
FrancyJGLisboa
This enhanced skill should be used when the user asks to create an agent, automate a repetitive workflow, create a custom skill, or needs advanced agent creation capabilities. Activates with phrases like every day, daily I have to, I need to repeat, create agent for, automate workflow, create skill for, need to automate, turn process into agent. Supports single agents, multi-agent suites, transcript processing, template-based creation, and interactive configuration. Claude will use the enhanced protocol to research APIs, define analyses, structure everything, implement functional code, and create complete skills autonomously with optional user guidance.
vibe-build
KhazP
Build your MVP following the AGENTS.md plan. Use when the user wants to start building, implement features, or says "build my MVP", "start coding", or "implement the project".
swarm-coordination
joelhooks
Multi-agent coordination patterns for OpenCode swarm workflows. Use when work benefits from parallelization or coordination.