Agent skill

Orchestrating Fusion

by jellydn in jellydn/my-ai-tools

Coordinate a read-only lead and implementation executor when role separation is requested.

MITAuto-check passedAgent Workflows

Install Orchestrating Fusion

skills CLI
$ npx skills add jellydn/my-ai-tools --skill orchestrating-fusion -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jellydn/my-ai-tools orchestrating-fusion --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jellydn/my-ai-tools.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/orchestrating-fusion .claude/skills/orchestrating-fusion && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
orchestrating-fusion
GitHub stars
123
Token cost
~1.5k tokens
SKILL.md length
765 words
Files
1
Skills in repo
33
Repo updated
First seen
Licence
MIT

At a glance

Coordinate a read-only lead and implementation executor when role separation is requested.

  • Works in 5 steps: Have the lead inspect the request and… → The lead resolves architectural and… → The lead selects only the relevant… → …
  • Agent Workflows work in your project
  • SKILL.md covers Route Deliberately, Native Adapters, Workflow and Capability Guarantees
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Orchestrating Fusion is an agent skill from jellydn/my-ai-tools. Coordinate a read-only lead and implementation executor when role separation is requested.

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: claude, opencode, amp, codex, gemini, cursor, pi, cline

It sits in Agent Workflows. The repository describes itself as: Comprehensive configuration management for AI coding tools - Replicate my complete setup for Claude Code, OpenCode, Amp, Li, Codex and Claude Code Switch with custom… The licence is MIT.

When your agent uses it

  • Agent Workflows work in your project

Example prompts

  • “/orchestrating-fusion”

Requirements

  • Compatibility (from SKILL.md): claude, opencode, amp, codex, gemini, cursor, pi, cline

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Have the lead inspect the request and relevant code. It may delegate read-only discovery.
  2. The lead resolves architectural and product choices. Ask the user only when a missing decision materially changes the result.
  3. The lead selects only the relevant installed skills. Include each exact SKILL.md path in the handoff; do not paraphrase a skill into a…
  4. The lead sends the executor one bounded specification using this contract. Keep specifications concise (target under 2,000 tokens)…
  5. The executor reads every listed skill from its exact path, implements the smallest complete change, persists artifacts before responding…

What it can do on your machine

Read from SKILL.md and the folder at commit 62c9227. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    claude, opencode, amp, codex, gemini, cursor, pi, cline

    From compatibility in the SKILL.md frontmatter.

Context cost

Orchestrating Fusion loads about 1.5k tokens when it runs. Until then it costs about 28 tokens; SKILL.md has 765 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~28
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jellydn/my-ai-tools at commit 62c9227, republished under its MIT licence (© jellydn). 765 words, ~1,472 tokens.

Download SKILL.mdSave it as .claude/skills/orchestrating-fusion/SKILL.md (or your agent's skills folder).
name
orchestrating-fusion
description
Coordinate a read-only lead and implementation executor when role separation is requested.
compatibility
claude, opencode, amp, codex, gemini, cursor, pi, cline
license
MIT
user-invocable
true
metadata.audience
all
metadata.workflow
orchestration

Fusion Orchestration

Separate judgment from mechanical implementation. A lead investigates, decides, specifies, reviews, and verifies. An executor edits only the bounded scope in the lead's specification.

Route Deliberately

Do not force every task through Fusion:

  • Keep a tiny, already-understood, single-file mechanical change in the normal writable session.
  • Use Fusion when investigation, architectural judgment, multiple non-trivial writes, or independent review materially improve the result.
  • Offer a durable PRD, ADR, or implementation plan only when persistent artifacts reduce substantial ambiguity. Never create a spec lifecycle merely because a change is large or risky.

Native Adapters

Prefer the installed native roles when the current tool exposes them:

  • OpenCode: run the fusion-lead primary; it can delegate to fusion-executor and cannot edit or run shell commands.
  • Amp: select the fusion agent mode; its restricted tool surface exposes fusion_executor for implementation.
  • Codex: from the writable root session, spawn fusion-lead for the specification, then spawn the sibling fusion-executor; a read-only child cannot safely escalate a nested child to workspace-write.
  • Pi: from the root session, use the Agent tool to run fusion-lead, then run the sibling fusion-executor; pi-subagents enforces the lead's tool allowlist and intentionally disables nested delegation.

For other assistants, apply the workflow below using their native subagent/task tool. Treat role separation as advisory unless the harness actually restricts each role's tools or sandbox.

Workflow

  1. Have the lead inspect the request and relevant code. It may delegate read-only discovery.
  2. The lead resolves architectural and product choices. Ask the user only when a missing decision materially changes the result.
  3. The lead selects only the relevant installed skills. Include each exact SKILL.md path in the handoff; do not paraphrase a skill into a lossy substitute or preload unrelated skills.
  4. The lead sends the executor one bounded specification using this contract. Keep specifications concise (target under 2,000 tokens) — summarize objectives succinctly and reference skill paths, rather than pasting full PRDs, raw user prompts, or file contents verbatim. When the harness prevents nested delegation, the lead returns this specification to the writable root, which starts the executor as a sibling:
text
OBJECTIVE
FILES
INTERFACES
CONSTRAINTS
SKILLS
VERIFICATION
  1. The executor reads every listed skill from its exact path, implements the smallest complete change, persists artifacts before responding, and returns a final text envelope:
text
STATUS
EXECUTIVE SUMMARY
CHANGES
VERIFIED
SKILLS LOADED
RISKS
QUESTIONS
NEXT RECOMMENDED
KEY LEARNINGS

Verification contract: the executor runs only checks the runtime permits or the user has approved. Exact read-only inspection commands usually run directly. Other checks may require approval, root mediation, or may be denied (OpenCode denial can terminate the child before an envelope returns). When a check cannot run inside the executor, it must report VERIFICATION REQUIRED with the exact command; the interactive root then runs that exact command and supplies the evidence before acceptance. Never treat a missing, declined, timed-out, or root-only check as passed.

  1. The lead gates the handoff before claiming success:
    • Validate that every required envelope section is present (or that a structured failure envelope explains why it is not).
    • Read back every claimed changed path or artifact.
    • Confirm named paths and symbols exist and the changes remain in scope.
    • Inspect exact verification commands and outcomes; independently rerun the narrowest meaningful check when possible.
    • Relay blocking questions losslessly, preserving every option, constraint, and reason input is required.
  2. If the gate fails, the lead sends one targeted correction specification. If the second result still fails, stop and report the evidence instead of entering an unbounded fix loop.
Show full SKILL.md (206 more words)Show less

Run independent executor tasks in parallel only when their write targets do not overlap. Never delegate commit, push, deployment, destructive operations, or external side effects without explicit user approval.

Capability Guarantees

Prompt text is not a security boundary. Describe a role as enforced only when the harness removes mutation tools or applies a read-only sandbox. Shell access can bypass a missing edit tool, so a role with unrestricted shell is not mechanically read-only.

Pi skill paths: Fusion on Pi supports project-local skills under the task working directory (for example .agents/skills/.../SKILL.md or .pi/skills/...). The executor denies external-directory reads, so globally installed skills under ~/.agents/skills are not loadable inside the child. The interactive root mediates global skills when needed. Full dynamic global-skill support needs a larger adapter or upstream read-only external access.

Amp residuals: Amp authorizes fusion_executor from plugin-owned lead thread IDs after the lead is observed; until then it falls back to the complete expected lead agent definition (kind + name), which is not documented as a unique authorization principal across third-party plugins.

If the native executor is unavailable or its model/provider fails, report the blocker. Do not silently let a supposedly read-only lead edit as a fallback; ask the user to switch to normal unrestricted mode instead.

© jellydn, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/orchestrating-fusion of jellydn/my-ai-tools.

Open the folder on GitHubat commit 62c9227

Compare with similar skills

Orchestrating Fusion next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Orchestrating Fusion compared with similar skills
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Orchestrating Fusion this skilljellydn/my-ai-tools123—~1.5kAutomated safety check: PassMIT
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Hook Development for Claude Code Pluginsanthropics/claude-plugins-official38k10 repos~4.1kAutomated safety check: NotesApache-2.0
Using Superpowersfarm-fe/farm5.6k36 repos~1.4kAutomated safety check: PassMIT
Executing Plans Inlineobra/superpowers297k2 repos~5.1kAutomated safety check: PassMIT
Skill CreatorAzure/azqr79689 repos~8.2kAutomated safety check: PassApache-2.0

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Categories

Questions about Orchestrating Fusion

What does Orchestrating Fusion do?

Coordinate a read-only lead and implementation executor when role separation is requested. Orchestrating Fusion is an agent skill from jellydn/my-ai-tools. Coordinate a read-only lead and implementation executor when role separation is requested.

When should I use Orchestrating Fusion?

Orchestrating Fusion fits situations like: agent Workflows work in your project.

How do I install Orchestrating Fusion in Claude Code?

Run `npx skills add jellydn/my-ai-tools --skill orchestrating-fusion -a claude-code`. Or copy the skill folder (skills/orchestrating-fusion in jellydn/my-ai-tools) into .claude/skills/orchestrating-fusion in your project. Claude Code loads it when a task matches its description.

How do I install Orchestrating Fusion in Codex?

Run `npx skills add jellydn/my-ai-tools --skill orchestrating-fusion -a codex`. Or copy the skill folder (skills/orchestrating-fusion in jellydn/my-ai-tools) into .agents/skills/orchestrating-fusion in your project. Codex loads it when a task matches its description.

Can I use Orchestrating Fusion in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jellydn/my-ai-tools --skill orchestrating-fusion -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/orchestrating-fusion, .gemini/skills/orchestrating-fusion, .github/skills/orchestrating-fusion and .opencode/skills/orchestrating-fusion in your project.

What does Orchestrating Fusion need to run?

SKILL.md names no scripts, command-line tools or credentials: Orchestrating Fusion is instructions for the agent only. Compatibility (from SKILL.md): claude, opencode, amp, codex, gemini, cursor, pi, cline.

Does Orchestrating Fusion access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Orchestrating Fusion safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Orchestrating Fusion use?

Orchestrating Fusion is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Orchestrating Fusion use?

About 1.5k tokens (SKILL.md is roughly 5.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Orchestrating Fusion?

Skills that share tags, products or a category with Orchestrating Fusion: MCP Server Builder (anthropics/skills, 180k stars), Hook Development for Claude Code Plugins (anthropics/claude-plugins-official, 38k stars), Using Superpowers (farm-fe/farm, 5.6k stars) and Executing Plans Inline (obra/superpowers, 297k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Orchestrating Fusion?

jellydn (a GitHub user) maintains it in jellydn/my-ai-tools, which has 123 GitHub stars. The repository holds 33 skills in this directory. The repository was last updated on October 10, 2026.

Source: jellydn/my-ai-tools on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.