Works with the AI Agents you already use
Claude Code
Cursor
Codex CLI
Muse
Dots+21 moreClaude CodeCursorCodex CLIMuseDots
Manus
Grok
Grok Bot+18 agentsprogram command center
Orchestrate complex software tasks across multiple agents and CLIs with durable state tracking and automated QA.
$6.99
program command center
Example session with this skill installed
I need to refactor our entire auth module to use OIDC, update the database schema, and rewrite the frontend login components in parallel. Decompose and start the orchestration.
- Read your context and instructions
- Compiled the program command center
I have decomposed the OIDC refactor into four parallel workstreams and initialized the tracking state. A durable record has been created at ~/.hermes/tasks/oidc_refactor_20231027.json to manage the lifecycle of these tasks across different agents.
Orchestration Plan: OIDC Migration
| Task ID | Description | Dispatch Layer | Done-Condition |
|---|---|---|---|
TASK-001 | Update SQL schema for OIDC provider IDs | External CLI | Migration script passes dry-run |
TASK-002 | Implement OIDC strategy in backend | Hermes Subagent | Passport/Auth.js unit tests pass |
TASK-003 | Rewrite Login/Register UI components | External CLI | Storybook visual tests match specs |
TASK-004 | Integration QA & Token Flow Audit | Separate Session | End-to-end login flow succeeds |
Execution Log
{
"project": "Auth Refactor",
"status": "in_progress",
"tasks": [
{
"id": "TASK-001",
"status": "dispatched",
"target": "claude-code",
"checkpoint": "initializing_migrations"
},
{
"id": "TASK-002",
"status": "queued",
"target": "subagent_primary",
"checkpoint": null
}
]
}
Next steps
- Verify the task briefs in the
~/.hermes/tasks/directory. - Monitor
scripts/orchestrate.pyoutput as the external CLIs spin up worktrees. - Provide the OIDC provider credentials when prompted by the backend subagent.
Connects securely to your tools. The creator never sees your data.
About this skill
Large software projects often stall when a single agent session runs out of context or fails to track complex, multi-step progress. Managing parallel workstreams across different tools like Claude Code or subagents manually leads to lost state and integration headaches.
This skill provides a structured orchestration framework to decompose, dispatch, and track massive engineering tasks. It moves beyond simple prompting by implementing a durable state management system and a rigorous delegation protocol.
What it does
- Task Decomposition breaks large features into small, independent units with concrete done-conditions.
- Multi-Layer Routing determines whether to use internal subagents, external coding CLIs, or cross-agent handoffs.
- State Management maintains a durable record of progress in
~/.hermes/tasks/to survive session resets. - Parallel Orchestration manages fan-out execution for independent workstreams and sequential pipelines.
- Automated QA enforces a separate verification layer where a different agent session audits the work before merging.
How it works
- Analyze and Decompose the user request into 3 to 7 verifiable tasks using the provided patterns.
- Initialize State by creating a JSON tracking file to record progress, metadata, and checkpoints.
- Dispatch Work to the optimal layer, whether it is a local terminal CLI or a reasoning-heavy subagent.
- Audit and Merge results through a dedicated QA step that compares output against the original requirements.
Frameworks & tools
Built for Linux and macOS environments requiring python3. It interfaces with external coding CLIs such as Claude Code, Codex, and OpenCode through terminal-based orchestration and structured JSON state tracking.
Why this beats prompting it yourself
Generic prompts fail when a task requires hours of execution or spans dozens of files. This skill provides the scripts and templates needed to maintain a "source of truth" on disk, ensuring work resumes correctly after failures and that no agent ever reviews its own code.
Use cases
- Orchestrating a full-stack refactor across multiple directories simultaneously.
- Delegating long-running builds or migrations to external coding CLIs while maintaining a progress log.
- Managing complex handoffs between specialized agents for frontend and backend logic.
- Implementing a rigorous "double-check" workflow for critical infrastructure changes.
Known limitations
Requires a local environment with python3 installed. It is not intended for simple one-line fixes or single-file edits. Persistent background processes are not supported and must be handled via cron or manual resumes.
Requires python3 on Linux or macOS. Not for trivial one-file edits. Max two retries per task before user escalation. Background processes do not persist across system restarts.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.
Reviews
No reviews yet
Be one of the first to try it. Every listed skill goes through the trust checks below.
Security scanned
Checked by our 8-point scan before listing
Fresh listing
Recently published to Agensi
Money-back guarantee
Doesn't do what its page promises? You get your money back.
Trust & safety
Security scan
Security scan passed 21 days ago