Borrowing it
Nothing to install: this file belongs to lxyer/multi-agent-collaboration-system. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/lxyer/multi-agent-collaboration-system/main/.agents/skills/start/SKILL.mdgit clone --depth 1 https://github.com/lxyer/multi-agent-collaboration-systemWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/lxyer/multi-agent-collaboration-system/start)<a href="https://agentmods.dev/skills/lxyer/multi-agent-collaboration-system/start"><img src="https://agentmods.dev/badge/skills/lxyer/multi-agent-collaboration-system/start/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/lxyer/multi-agent-collaboration-system/start"><img src="https://agentmods.dev/badge/skills/lxyer/multi-agent-collaboration-system/start.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00071 | $0.02360 |
| Opus 5.5 | $0.00028 | $0.00944 |
| Sonnet 5.5 | $0.00014 | $0.00472 |
| Haiku 4.5 | $0.00007 | $0.00236 |
Grade A, and why
start scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 352 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Start Session
Initialize your AI development session and begin working on tasks.
Operation Types
| Marker | Meaning | Executor |
|---|---|---|
[AI] |
Bash scripts or tool calls executed by AI | You (AI) |
[USER] |
Skills executed by user | User |
Initialization [AI]
Step 1: Understand Development Workflow
First, read the workflow guide to understand the development process:
cat .trellis/workflow.md
Follow the instructions in workflow.md - it contains:
- Core principles (Read Before Write, Follow Standards, etc.)
- File system structure
- Development process
- Best practices
Step 2: Get Current Context
python3 ./.trellis/scripts/get_context.py
This shows: developer identity, git status, current task (if any), active tasks.
Step 3: Read Guidelines Index
python3 ./.trellis/scripts/get_context.py --mode packages
This shows available packages and their spec layers. Read the relevant spec indexes:
cat .trellis/spec/<package>/<layer>/index.md # Package-specific guidelines
cat .trellis/spec/guides/index.md # Thinking guides (always read)
Important: The index files are navigation — they list the actual guideline files (e.g.,
error-handling.md,conventions.md,mock-strategies.md). At this step, just read the indexes to understand what's available. When you start actual development, you MUST go back and read the specific guideline files relevant to your task, as listed in the index's Pre-Development Checklist.
Step 4: Report and Ask
Report what you learned and ask: "What would you like to work on?"
Task Classification
When user describes a task, classify it:
| Type | Criteria | Workflow |
|---|---|---|
| Question | User asks about code, architecture, or how something works | Answer directly |
| Trivial Fix | Typo fix, comment update, single-line change, < 5 minutes | Direct Edit |
| Simple Task | Clear goal, 1-2 files, well-defined scope | Quick confirm → Task Workflow |
| Complex Task | Vague goal, multiple files, architectural decisions | Brainstorm → Task Workflow |
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 352 lines · 71 tokens per session scan A 8853e4ddc168
start is a skill published in the GitHub repository lxyer/multi-agent-collaboration-system (1 stars, last pushed 6mo ago), licensed MIT. It adds 71 tokens to every session and 2,360 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
backlog
Read, work, and maintain a repo's deferred-work items in docs/backlog/, one file per item. Use when the user says "backlog", "check backlog", "what's on my backlog", "work the backlog", "address the backlog", "add to backlog", "clean up backlog", or when a review or task produced items that are real but not being…
Codex
Mission control: create tasks, assign to an agent/team, wait for human approval, worker runs in the background, accept results.
kn-handoff
Use when a feature crosses repository boundaries and one side must hand work to the other - generates a self-contained frontend-to-backend brief or backend-to-frontend API contract.
squads-cli
Squads CLI — operate your squads through the loop; intent in, reviewed work out. TRIGGER when running squads, dispatching agents, triaging the inbox, reading/writing memory, recording feedback, or checking status/usage.
ponytail-debt
Harvest every ponytail: comment in the codebase into a debt ledger, so the deliberate shortcuts and deferrals ponytail leaves behind get tracked instead of rotting into "later means never". Use when the user says "ponytail debt", "/ponytail-debt", "what did ponytail defer", "list the shortcuts", "ponytail ledger", or…
gh
You have access to gh (GitHub CLI) for repository and project management.