Orca CLI
stablyai/orca
Operate Orca-managed worktrees, folder contexts, terminals, repos, automations, artifacts, skill sharing, worktree comments, and Orca's embedded browser…
Drive a substantial implementation or migration through bounded implementation, risk-scaled fresh review, consolidated fixes, verification, landing, and cleanup.
$ npx skills add pikax/verter --skill multi-agent-orchestration -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install pikax/verter multi-agent-orchestration --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/pikax/verter.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/multi-agent-orchestration .claude/skills/multi-agent-orchestration && rm -rf skills-srcUse ~/.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/
Install the "multi-agent-orchestration" agent skill from https://github.com/pikax/verter/tree/main/.claude/skills/multi-agent-orchestration into .claude/skills/multi-agent-orchestration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "multi-agent-orchestration", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/pikax/verter/tree/main/.claude/skills/multi-agent-orchestrationType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add pikax/verter --skill multi-agent-orchestration -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install pikax/verter multi-agent-orchestration --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pikax/verter.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/multi-agent-orchestration .agents/skills/multi-agent-orchestration && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "multi-agent-orchestration" agent skill from https://github.com/pikax/verter/tree/main/.claude/skills/multi-agent-orchestration into .agents/skills/multi-agent-orchestration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "multi-agent-orchestration", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add pikax/verter --skill multi-agent-orchestration -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install pikax/verter multi-agent-orchestration --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pikax/verter.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/multi-agent-orchestration .cursor/skills/multi-agent-orchestration && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "multi-agent-orchestration" agent skill from https://github.com/pikax/verter/tree/main/.claude/skills/multi-agent-orchestration into .cursor/skills/multi-agent-orchestration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "multi-agent-orchestration", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/pikax/verter.git --path .claude/skills/multi-agent-orchestration--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add pikax/verter --skill multi-agent-orchestration -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install pikax/verter multi-agent-orchestration --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pikax/verter.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/multi-agent-orchestration .gemini/skills/multi-agent-orchestration && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "multi-agent-orchestration" agent skill from https://github.com/pikax/verter/tree/main/.claude/skills/multi-agent-orchestration into .gemini/skills/multi-agent-orchestration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "multi-agent-orchestration", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install pikax/verter multi-agent-orchestrationInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add pikax/verter --skill multi-agent-orchestration -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/pikax/verter.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/multi-agent-orchestration .github/skills/multi-agent-orchestration && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "multi-agent-orchestration" agent skill from https://github.com/pikax/verter/tree/main/.claude/skills/multi-agent-orchestration into .github/skills/multi-agent-orchestration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "multi-agent-orchestration", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add pikax/verter --skill multi-agent-orchestration -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install pikax/verter multi-agent-orchestration --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pikax/verter.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/multi-agent-orchestration .opencode/skills/multi-agent-orchestration && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "multi-agent-orchestration" agent skill from https://github.com/pikax/verter/tree/main/.claude/skills/multi-agent-orchestration into .opencode/skills/multi-agent-orchestration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "multi-agent-orchestration", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
multi-agent-orchestrationDrive a substantial implementation or migration through bounded implementation, risk-scaled fresh review, consolidated fixes, verification, landing, and cleanup.
Multi Agent Orchestration is an agent skill from pikax/verter. Drive a substantial implementation or migration through bounded implementation, risk-scaled fresh review, consolidated fixes, verification, landing, and cleanup.
Its SKILL.md is about 2.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/templates.md`).
It sits in Agent Workflows, covering Multi-agent orchestration. The repository describes itself as: Fast Rust-powered compiler, semantic extraction, and LSP for component frameworks. The licence is MIT.
Read from SKILL.md and the folder at commit 858624d. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
pnpmFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use pnpm, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Multi Agent Orchestration loads about 2.6k tokens when it runs, and up to ~4.7k if it reads all its reference files. Until then it costs about 47 tokens; SKILL.md has 1,440 words of instructions outside code blocks.
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.
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.
The full file from pikax/verter at commit 858624d, republished under its MIT licence (© pikax). 1,440 words, ~2,615 tokens.
.claude/skills/multi-agent-orchestration/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Use one parent orchestrator to own ordering, scope, review, landing, and cross-train coordination. A train manager coordinates only its named train; it does not use one shared mutation worktree for all of the train's blocks. Each independently landable node/block has its own implementation owner and candidate. Use subagents for concrete bounded implementation or fresh review work when the task calls for multi-agent execution.
The program DAG is owned by the TAMA controller's database. Nodes, predecessors, charters, contracts, plans, decision records, issue mappings and implementation state all live there; the repository carries none of it. There is no roadmap/ directory, no implementation ledger file, no repository-side DAG validator and no CI roadmap lane, and none may be reintroduced by a node's patch.
Readiness is intentionally simple. A node is implemented when the controller records its merge; a dispatchable node is READY when every transitive DAG ancestor is implemented. No activation, conditional, or in-progress state participates, and nothing in the repository is consulted to derive it.
An implementation patch therefore never edits DAG state. It does not add, move or rewrite charters, contracts, plans, decision records, ledgers or node tables in the tree, and it does not ship a per-node "constitution" or "ratification" harness that loads a repository DAG. A documentation or contract node lands its durable text where the code's own documentation lives (docs/, package READMEs, skill files) and records the ratified contract as a DAG asset through the controller. Landing the reviewed PR is what marks the node implemented.
GitHub is the landing path, not a mirror. Issue identity for a node, when one exists, comes from the controller's mapping, and the controller's own GitHub engine opens, labels and closes issues and pull requests. The repository's scripts/githubctl keeps only the offline doctor and the ruleset protection commands; issue sync, scheduling, project status, release planning and ledger writes are not repository concerns.
Landed charters are immutable historical acceptance records. Never retrofit this operating policy into a charter whose node is already implemented; update the owning active contract and orchestration policy through the controller instead.
When a user or maintainer directs DAG work to land without a GitHub PR, put one exact Closes #<n> line per controller-mapped issue in the final squash commit body before review. The issue closes when that commit reaches the origin default branch. Never put this coordination citation in source or tests.
If an existing GitHub issue must become DAG work, a maintainer authors the node and its charter in the controller. Never generate, propose, import, or apply DAG authority from GitHub or from repository files automatically.
Before implementation, confirm the node is READY, read its packet and charter, enumerate independently landable outcomes, and select proportionate evidence for every acceptance outcome. Split work that combines unrelated authority changes or independently rollbackable concerns. Tests are evidence, not quota; behavioral changes use TDD.
Production LOC and file budgets are planning references, not hard lines. Compare the actual candidate with them and investigate material drift in either direction. If a charter expects one production file and the candidate changes ten, treat that as a scope smell requiring a coherent explanation and a check for hidden independently landable work; do not reject, pad, or split a coherent implementation merely to hit the estimate. rescope_loc and rescope_files are stronger investigation signals under the same judgment-based rule.
Conflict domains, resources, external requirements, and effort fields are planning instructions. They are not leases or machine-validated authorizations. The maintainer coordinates ownership and ordering.
The default landing unit is one independently landable node/block. Give it one dedicated branch/worktree, one stable candidate patch, one squash commit, and—when GitHub control is active—one mapped issue and one PR. Implement only that node's authorized scope, run targeted evidence, rebase as needed, and squash to one conventional commit before final review; the patch carries no DAG state. A train manager coordinates ordering and cross-node dependencies; it does not accumulate sibling-node changes in a shared mutation worktree.
Use one shared branch/worktree for multiple nodes only when the user or maintainer explicitly requests a single atomic train landing before mutation begins. Record why the nodes are not independently landable and keep the combined candidate reviewable as one unit; the controller marks every included node implemented when the candidate lands. Convenience, fewer PRs, shared files, or membership in the same named train are not sufficient reasons. Without that explicit exception, never mix independently landable nodes in one worktree, branch, squash, or PR.
One implementation or fix owner mutates a node candidate at a time. Additional implementation agents may work concurrently only in separate worktrees with disjoint landing units; reviewers and verifiers are read-only against a stable candidate. Do not add receipt files, candidate manifests, runtime state, or SHA-bound evidence.
Roadmap identity stays out of landed code and tests. Production file/module names and comments, plus all test file/module/test names, comments, fixtures, snapshots, assertion messages, and guard diagnostics, must describe durable behavior, never the program, roadmap/DAG, node/block/train ID, phase/stage, implementation sequence, or deletion history. A GitHub issue citation is allowed only for a specific independently reported defect outside the DAG-controlled issue mappings, and only alongside the durable behavioral explanation. Never cite the node's mapped issue or PR as code/test rationale.
In a fresh worktree, run pnpm install --frozen-lockfile before JS/TS tests or workspace-importing Node scripts so missing gitignored dependencies do not look like regressions.
Reviewers should inspect one stable node candidate patch, or the explicitly approved atomic multi-node candidate. The trust model does not require machine enforcement of immutability. Any material fix invalidates affected review conclusions by judgment; rerun the relevant review and verification without restamping identities.
The train manager keeps a human coordination count of newly implemented blocks since the previous train architecture checkpoint. After every 3 to 6 blocks, spawn a fresh Codex Architect conformance task over the cumulative train implementation. Select the checkpoint after block 3, 4, 5, or 6 based on risk and architectural churn, but complete it before a seventh unchecked block proceeds. Check convergence on the train's intended architecture, block and ownership coherence, and conformance to current DAG authority, charters, contracts, and every ordinary reviewed amendment effective for the train. Resolve material findings through the owning candidate or an ordinary amendment and rerun affected conformance before continuing.
On the train's final intended block, also spawn a fresh independent train-review task over all implemented train blocks plus the final candidate. It verifies that the full amended train intent is implemented, integrated, and evidenced. This cumulative review is additional to the final block's risk-scaled review and to any Architect checkpoint due for the current tranche. Do not accept or land the final block until material findings are resolved and the affected train review passes.
The checkpoint count and review reports remain ordinary coordination artifacts. Do not add implementation-ledger transitions, receipts, amendment digests, or readiness state for them.
Reviewers inspect the cumulative patch, proof selection, applicable tests, scope completeness, fail-closed behavior, performance implications, and architecture conformance. The author does not review its own work.
Consolidate all findings once per round. One fix agent addresses the full set and class-wide siblings. Add a regression only for a plausible boundary not already discriminated. Two review/fix cycles are the soft maximum; outside the scheduled train-conformance role above, use a neutral Architect only for real unresolved architecture ambiguity or a justified continuation ruling.
Run targeted evidence during implementation and the owning final gate on the final candidate. Land by squash-merging the reviewed node PR through GitHub; the TAMA controller records the merge and updates the node's issue. For an authorized non-PR landing, verify the reviewed squash commit body has every required mapped-issue closing line, then use the repository's normal landing workflow; pushing or merging that commit to the origin default branch performs issue closure. There is no fast-forward identity, landing receipt, activation command, or confirmation manifest.
Remove disposable worktrees after their results are recorded. Report the implemented node, commit locator hints, review verdicts, verification results, remaining limitations, and cleanup state.
See references/templates.md for prompts.
Autonomous train managers use the controller's default cumulative checkpoint policy: normally three new blocks, a hard six-block unchecked bound including active reservations, conservative first-adoption coverage and durable operational progress. A final train review must inspect the actual candidate checkout and cannot be waived by a node-review override. Changed candidate/baseline content requires a fresh affected review. These execution controls do not add a DAG readiness input.
© pikax, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file (references) in .claude/skills/multi-agent-orchestration of pikax/verter.
Open the folder on GitHubat commit 858624d
Multi Agent Orchestration 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Multi Agent Orchestration this skillpikax/verter | 113 | — | ~2.6k | Automated safety check: Pass | MIT | |
| Orca CLIstablyai/orca | 88k | 2 repos | ~593 | Automated safety check: Pass | MIT | |
| Paseo Advisor Second Opiniongetpaseo/paseo | 20k | 1 repos | ~756 | Automated safety check: Pass | Custom licence | |
| O2 Review Loopopenobserve/openobserve | 22k | — | ~3.7k | Automated safety check: Pass | AGPL-3.0 | |
| Paseo Committeegetpaseo/paseo | 20k | 1 repos | ~496 | Automated safety check: Pass | Custom licence | |
| Mission Control Agent APIbuilderz-labs/mission-control | 6.3k | — | ~2.1k | Automated safety check: Pass | MIT |
stablyai/orca
Operate Orca-managed worktrees, folder contexts, terminals, repos, automations, artifacts, skill sharing, worktree comments, and Orca's embedded browser…
getpaseo/paseo
Launches one separate agent through Paseo to give a second opinion on the current task, with a self-contained briefing and no permission to edit files.
openobserve/openobserve
Splits a change into planner, coder and independent reviewer roles: you confirm a spec, a subagent implements it, and a separate reviewer checks each round's local WIP commit.
getpaseo/paseo
Forms a two-agent committee with contrasting profiles to analyze a stuck problem in parallel, reconcile their views and return a consensus plan without editing files.
builderz-labs/mission-control
Teaches an agent to use the Mission Control dashboard API: register, send heartbeats, fetch assigned tasks, report progress and disconnect, with API key auth.
getpaseo/paseo
Hands off the current task, including context, decisions and failed attempts, to a fresh agent through Paseo by writing a self-contained briefing prompt and launching that agent.
pikax/verter
In-process backtrace watchdog + LLDB attach wrapper + release-dbg profile for diagnosing hangs and slow paths in Verter benches and binaries on Windows / macOS / Linux.
pikax/verter
Generate copy-pasteable prompts for driving separate Claude Code sessions through refactor, review, or migration work.
pikax/verter
Build dependency chains, rebuild sequences, profiling with MCP, and Analysis MCP server setup for Verter
pikax/verter
Rust compiler pipeline, template codegen (VDOM/IDE), CodeTransform, cached directives, strict slots, IDE error recovery, style preprocessing, CompileTarget, compiler authority/policy/demand/admission
pikax/verter
CTO/manager-of-managers methodology for autonomous multi-train plans where the user says "you are the MoM/CTO", "orchestrate the whole plan", "drive the migration end-to-end", "manager-of-managers"…
pikax/verter
Rust performance optimization patterns: batch operations, allocation hierarchy, object pooling, CodeTransform API for vertercompiler
Categories
Drive a substantial implementation or migration through bounded implementation, risk-scaled fresh review, consolidated fixes, verification, landing, and cleanup. Multi Agent Orchestration is an agent skill from pikax/verter. Drive a substantial implementation or migration through bounded implementation, risk-scaled fresh review, consolidated fixes, verification, landing, and cleanup.
Multi Agent Orchestration fits situations like: tasks that involve Multi-agent orchestration.
Run `npx skills add pikax/verter --skill multi-agent-orchestration -a claude-code`. Or copy the skill folder (.claude/skills/multi-agent-orchestration in pikax/verter) into .claude/skills/multi-agent-orchestration in your project. Claude Code loads it when a task matches its description.
Run `npx skills add pikax/verter --skill multi-agent-orchestration -a codex`. Or copy the skill folder (.claude/skills/multi-agent-orchestration in pikax/verter) into .agents/skills/multi-agent-orchestration in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add pikax/verter --skill multi-agent-orchestration -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/multi-agent-orchestration, .gemini/skills/multi-agent-orchestration, .github/skills/multi-agent-orchestration and .opencode/skills/multi-agent-orchestration in your project.
Going by SKILL.md and its folder, Multi Agent Orchestration needs the command-line tools its instructions call (pnpm).
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.
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.
Multi Agent Orchestration is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.6k tokens (SKILL.md is roughly 10k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.1k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Multi Agent Orchestration: Orca CLI (stablyai/orca, 88k stars), Paseo Advisor Second Opinion (getpaseo/paseo, 20k stars), O2 Review Loop (openobserve/openobserve, 22k stars) and Paseo Committee (getpaseo/paseo, 20k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
pikax (a GitHub user) maintains it in pikax/verter, which has 113 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on October 9, 2026.
Source: pikax/verter on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.