<skill-name>
Skill14 starsChanged 10 days agoMITView on GitHub
Use <Tool> as a subagent. Lets the main agent prompt <Tool> from the terminal in headless mode, and send the goal, the decisions and the scope with the task. Use when the user asks to delegate work to <Tool>, when a task needs a second independent agent, or when a plan needs a fresh perspective.
15 other projects use a version of this.
Adopted by
Most recently taken up by
- allemaar/open-skillstheir own version, first seen Nov 1, 2026
- Indium-AI-Labs/indium-agentkittheir own version, first seen Nov 1, 2026
- blacklanternsecurity/red-runtheir own version, first seen Oct 25, 2026
- Ionate-Technologies/indium-agentkittheir own version, first seen Oct 20, 2026
- Bencal18/Custom-AMS-Skillstheir own version, first seen Oct 11, 2026
- hyperledger-cacti/cactitheir own version, first seen Oct 9, 2026
Other versions15 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 15
- hyperledger-cacti/cacti★ 412same name
- blacklanternsecurity/red-run★ 296same name
- Indium-AI-Labs/indium-agentkit★ 18same name
- Ionate-Technologies/indium-agentkit★ 17same name
- allemaar/open-skills★ 15same name
- Lion-1209/Lion-Skills★ 4same name
- bird-chinese-community/BIRD.skills★ 3same name
- ThanhNguyxnOrg/blendops★ 3same name
- Bencal18/Custom-AMS-Skills★ 1same name
- danielteles/awesome-agent-skills★ 1same name
5 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository24 other files it gives its agents.
- antigravity-cliSkill
- claude-codeSkill
- cline-cliSkill
- codex-cliSkill
- copilot-cliSkill
- cursor-cliSkill
- deepagents-codeSkill
- devin-cliSkill
- gemini-cliSkill
- goose-cliSkill
- grok-cliSkill
- hermes-agentSkill
- junie-cliSkill
- kilocode-cliSkill
- kimi-codeSkill
- kiro-cliSkill
- mistral-vibeSkill
- oh-my-piSkill
- openclaw-cliSkill
- opencode-cliSkill
- openhands-cliSkill
- pi-cliSkill
- qoder-cliSkill
- qwen-codeSkill
The file
We split this skill into the rules it gives an agent
9 rules. 0 are common, 8 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 10 edited versions we read keep these.
8
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 48
Secrets or policy-sensitive work: Do not pipe credentials into a subagent.
- Distinctive: line 50
Low return on investment: If writing the handoff costs more than doing the edit, do the edit.
- Distinctive: line 61
Treat every call as stateless delegation: the subagent keeps nothing between calls, so each command must carry its own state.
- Distinctive: line 71
Write the prompt as a transfer of shared state, not as a title.
- Distinctive: line 82
Prefer sequential delegations with explicit carry-over.
- Distinctive: line 96
After the subagent returns:
- Distinctive: line 104
Every vendor has its own terminal rules.
- Distinctive: line 108
Exit code 0 is not success: If stdout is empty, treat the run as failed and read stderr.
- Very specific: line 119
Keep all seven sub-headings, in this order, even if the answer is "none".
“Common” is measured: kept by at least 6 in 10 of the 10 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
<Tool> (subagent / task delegation)
<!-- =============================================================================
GLOBAL HALF — sections 1 to 5.
These sections are identical in every skill in this repository.
Copy them without any change. Do not put a vendor name or a flag in them.
A change here must be made in all skills at the same time.
============================================================================= -->What is it
This skill teaches your agent to use an agent from another vendor as a subagent.
Almost every coding agent has a headless mode. Headless mode runs the agent from the terminal with one command and returns the answer to stdout. This skill gives the command pattern for one such agent, and the protocol to transfer enough context with the task.
You stay the main agent. You keep the plan, the decisions and the conversation with the user. The subagent does one bounded task and reports back.
When to delegate
- The user asks for it. The user names another agent, or asks for a second opinion.
- Large or multi-step work. The task covers several files, phases or checkpoints.
- Code review with a fresh mind. Another agent reviews the work with a different lens and no memory of the decisions that produced it.
- Planning that needs different ideas. A second agent proposes options that you did not consider.
- An internal council. Several subagents answer the same question, and you compare the answers.
- Deep research. The other CLI has web search, web extraction or browser automation.
- Background investigation. A long task runs in the background while you continue in the foreground.
When not to delegate
- Small or single-step tasks. One or two edits, or a short explanation, are faster in this thread.
- Tight feedback loops. The user wants quick back-and-forth in one conversation.
- Secrets or policy-sensitive work. Do not pipe credentials into a subagent. Redact first.
- Context you already hold. Repeating the whole plan in a prompt adds no value.
- Low return on investment. If writing the handoff costs more than doing the edit, do the edit.
- Work that needs high precision and full judgement. A subagent without your context will break a task that depends on a detail only this session knows.
Delegation and context transfer protocol
An isolated subagent saves tokens, but it splits the story. The subagent does not see this conversation. It has no memory of the goal you agreed with the user, the decisions you already made, or the paths you agreed not to touch. A poor handoff causes misread tasks, wrong assumptions about the stack or the style, and wasted edits.
Treat every call as stateless delegation: the subagent keeps nothing between calls, so each command must carry its own state. A good handoff happens when you keep these practices in mind:
- Shared state handoff. The prompt carries the original goal, the decisions already made, and the explicit scope, to bridge the subagent's missing session history.
- Contextual preservation. The high-volume work stays in the isolated process, so the bulk never enters this conversation and no "split story" forms from missing history.
- Result reconciliation. What comes back is folded into this thread afterwards, so there is a single source of truth.
Write the prompt as a transfer of shared state, not as a title. Include all six fields:
| Include | Why |
| Goal | The same objective as the user, not only the immediate micro-task. |
| Decisions | Framework, patterns, naming, "use X not Y" — anything that would otherwise be guessed wrong. |
| Scope | The absolute paths and modules to touch, and the areas to leave alone. A relative path may not resolve where you expect. |
| Constraints | Performance, accessibility, compatibility, review gates, "no new dependencies". |
| Verification | The exact command the subagent must run and pass before it returns. |
| Output | For example: "report only, no edits", "apply edits with a minimal diff", "list the files changed". |
Prefer sequential delegations with explicit carry-over. Parallel runs diverge unless every run gets the same briefing.
Run the subagent in the mode that does the work without asking for approval. Headless mode has nobody to answer a permission prompt. Any mode that stops to ask will stall, or return an empty answer with a success exit code. Each CLI names this mode differently — take the flag from the vendor card below.
Never call a subagent in plan mode. Many CLIs have a plan or read-only mode. That mode makes the other agent write a plan for itself, which is not what you asked for: you want its work or its answer, and you keep the planning. Plan mode also waits for someone to approve that plan, so the run comes back with nothing. If you want no file changes, keep the auto-approving mode and write "report only, no edits" in the Output field. Do not use plan mode to make a run read-only.
After the subagent returns:
- Report to the user. Give a short summary. Do not paste long logs unless the user asks.
- Reconcile the context. Record the decisions it made, the files it changed, and the open risks, so this session stays the single source of truth.
CLI failure modes
Every vendor has its own terminal rules. A headless run fails quietly more often than it fails loudly.
- Wrap the call in an external timeout. A headless CLI can stall before its own timeout starts.
- Exit code 0 is not success. If stdout is empty, treat the run as failed and read stderr. A permission the CLI could not ask for, and a prompt that never arrived, both look like success.
- Never carry a flag habit from one CLI to another. The same short flag means different things in
different tools. In OpenCode,
-pis--password: passing a prompt to it empties the message and the run waits on stdin forever. Confirm every flag against the CLI's own--help. - An unrecognized-flag error means this skill is stale, not that the task is impossible. Read
--help, continue with the flags that exist, and tell the user which line in this file is wrong.
<!-- =============================================================================
VENDOR HALF — section 6.
Everything below is specific to this CLI.
Keep all seven sub-headings, in this order, even if the answer is "none".
Take every flag from the installed binary (`<cli> --help`), not from memory
and not from another skill in this repository.
============================================================================= -->Vendor card
Binary and prompt form
The command name, and the official install command. Take the install command from the vendor's docs or its official package; if the vendor documents none, say so and link the docs — never guess a package name, because look-alike packages exist. Then whether the prompt is a flag argument or a positional argument. State this clearly — this is the mistake that makes a run hang forever.
Headless and output flags
The flag that makes the CLI run once and exit. The flags that control the output format.
Approvals and permissions
What this CLI does when a tool needs approval and nobody is there to answer. Name the approve-all flag, or say plainly that none exists. Note any narrower option, and any documented carve-out.
Models and how to list them
The command that lists the models, the model flag, and the shape it accepts. Do not write model names here — they go stale faster than anything else in this file.
If the user names a model or an effort level, use it. Otherwise ask the binary first. For capability and price comparisons, check Artificial Analysis and the vendor's own documentation.
Command pattern
One command the reader can copy, with the six handoff fields inside the prompt.
Prompt examples
Two or three short lines for the common cases, such as implement, review, and investigate.
Docs and reference
A link to reference.md, a link to the vendor's live documentation, and the verification stamp:
the version you checked and the date. If you could not run the binary, say so here instead.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

