Raxol symphony
Agent skills, autonomous agents, and MCP-companions for programming
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Symphony: the Raxol tracker-driven coding-agent orchestrator (raxol_symphony, pre-alpha). Turns tracker issues into autonomous agent runs in isolated workspaces, surfaces evidence (CI/PR/asciinema), and supports human-in-the-loop paused runs across six surfaces. TRIGGER when: mix.exs lists :raxol_symphony; code imports Raxol.Symphony.*; there is a WORKFLOW.md driving an orchestrator; user asks about tracker-driven agent orchestration, Symphony runners (RaxolAgent/Codex), evidence capture, or paused-run resume with Raxol. DO NOT TRIGGER when: building a single Raxol agent or the core framework (use raxol skill); agent payments / ACP job sessions (use raxol-payments skill); generic multi-agent system design without Symphony (use agent-designer skill); the Claude Agent SDK (use claude-api).
SKILL.md
3.9 KB, 750 tokens by cl100k_base, as published. Nobody here has run it
Raxol Symphony Skill
raxol_symphony (v0.1, pre-alpha) is an OTP port of OpenAI's Symphony: an orchestrator
that turns tracker work into autonomous coding-agent runs. Each issue gets an isolated
workspace, runs an agent until a workflow-defined handoff state, and surfaces evidence
(CI, PR comments, asciinema walkthrough) so engineers manage outcomes, not prompts.
Config is a WORKFLOW.md (YAML front-matter + a Liquid prompt template), hot-reloaded on
change. Pre-alpha: APIs may shift.
What You Get
- Orchestrator loop: poll tracker -> isolate workspace -> run runner -> collect evidence
- Runners: RaxolAgent (primary), Codex (JSON-RPC parity), AgentSession, Review, Noop
- Trackers: Linear (GraphQL), GitHub (state labels), Memory (tests)
- WORKFLOW.md hot-reload + a workflow graph adapter (saga-style)
- Evidence framework: CI, PR comments, complexity (cloc), asciinema recordings
- Six surfaces + a first-class paused-run substrate (pause/resume across surfaces)
Quickstart
{:ok, _pid} = Raxol.Symphony.start_link(workflow_path: "WORKFLOW.md")
<!-- WORKFLOW.md -->
---
tracker:
kind: linear
project_slug: demo
api_key: $LINEAR_API_KEY
active_states: ["Todo", "In Progress"]
terminal_states: ["Done", "Cancelled"]
runner:
kind: raxol_agent
agent:
backend: anthropic
model: claude-sonnet-4-6
max_turns: 20
---
You are working on issue {{ issue.identifier }}: {{ issue.title }}.
See also
raxol-- core agent/TUI framework Symphony runs agents onraxol-payments-- ACP job sessions used by the paused-run resume flowagent-designer-- general multi-agent orchestration patterns (non-Symphony)prd-to-plan/qa-- feeding a tracker with well-formed issues
Reading Guide
| Task | File |
|---|---|
| Orchestrator, trackers, runners, config | orchestrator.md |
| WORKFLOW.md, graph adapter, evidence | workflows-evidence.md |
| Surfaces + pause/resume + sandboxes | surfaces-pause.md |
Key Conventions
- One workspace per issue;
PathSafetysanitizes identifiers and asserts paths stay inside the workspace root. Never run an agent outside its workspace. - A runner returns
:ok(retry-continue),{:error, reason}(backoff retry), or{:pause, reason, token}(park in the orchestrator's paused map). - The Review runner's
Contractdeliberately carries no workspace reference -- reviewer isolation is an invariant.
Common Pitfalls
- Blocking on human input inline -- return
{:pause, reason, token}and let a surface/Resumerresume; don't sleep the runner. - Bad WORKFLOW.md --
WorkflowStorefalls back to the last-known-good config and recordslast_error/1; check it after edits. - Assuming production-ready -- v0.1 pre-alpha; pin versions and expect churn.
Gives 0 of the 12 instructions most agent orchestration skills give in 750 tokens
Counted across 742 of the 995 authors here whose files we hold, read 2026-08-07
- reference existing artifacts by path or URLin 53 of 742, across 25 files
- run the full test suite after integrating changesin 51 of 742, across 19 files
- dispatch one agent per independent problem domainin 50 of 742, across 17 files
- verify fixes do not conflictin 45 of 742, across 13 files
- include a suggested skills section in the documentin 45 of 742, across 17 files
- redact sensitive informationin 41 of 742, across 11 files
- save to the temporary directory of the operating systemin 39 of 742, across 10 files
- tailor the document to user-provided focus argumentsin 39 of 742, across 9 files
- spot check agent changes for systematic errorsin 34 of 742, across 7 files
- write a handoff document summarising the current conversationin 31 of 742, across 6 files
- Assign each agent a specific scopein 23 of 742, across 8 files
- provide specific scope and clear goalin 23 of 742, across 5 files
Said here and by no other author read
- start the orchestrator with a workflow path
- sanitize workspace identifiers
- keep paths inside the workspace root
- run agents only inside their workspace
- return a pause tuple for human input
- do not sleep the runner
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.