Orca orchestration: supervise multi-agent workers

Prerequisites: a working Orca runtime (the orca CLI installed and running); no accounts or API keys required Install "Orca orchestration: supervise multi-agent workers" for me. It teaches structured multi-agent coordination with the Orca CLI — threaded messages, blocking ask/reply, task dispatch with worker_done/escalation waits, task DAGs, decision gates, coordinator loops, and work decomposition across agents — by @stablyai, MIT-licensed. The full version-matched reference is served by the orca binary itself; this skill is the discovery stub that tells the agent how to load it. Repository: https://github.com/stablyai/orca/blob/main/skills/orchestration/SKILL.md 1. Fetch the SKILL.md file (and any helper files) from the repository path into a temporary folder and summarize what it does in one or two sentences. 2. Safety check: review the SKILL.md and scripts for anything suspicious (unexpected network calls, shell commands, credential harvesting). This repo should contain zero secrets in code, credentials only via the secure vault, allowed hosts declared in the SKILL.md. Verify that holds here; STOP on any red flag and tell me. 3. Install it as a skill: copy SKILL.md and its helper files into the agent's skills directory, in a folder named "orchestration". 4. Verify with no network calls: frontmatter valid, files in place. 5. Report what was installed, where, and what I still need to do myself (e.g. install the Orca runtime and resolve which executable to use — ORCA_DEV_REPO_ROOT, orca-ide, or orca — per the skill's instructions). GitHub is optional: if I have a GitHub account or the gh CLI, you may use it; otherwise public access is fine. Never require it unless it's in the prerequisites above. Rules: don't touch anything outside the temp folder and the install target. If anything looks off, stop and ask me.