Skip to content
Development
Skill

/hydra

Use when a task should run through Hydra's Lead-driven workflow for multi-agent orchestration, or when an existing workflow must be inspected or cleaned up.

From plugin
termcanvas
3797 skills
Install
$ npx -y skills add blueberrycongee/termcanvas --skill hydra --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/hydra

Context preview

The summary Claude sees to decide when to auto-load this skill.

Use when a task should run through Hydra's Lead-driven workflow for multi-agent orchestration, or when an existing workflow must be inspected or cleaned up.

SKILL.md

hydra.SKILL.md
name: hydra
description: Use when a task should run through Hydra's Lead-driven workflow for multi-agent orchestration, or when an existing workflow must be inspected or cleaned up.

Hydra Orchestration Toolkit

Hydra is a Lead-driven orchestration toolkit. You (the Lead agent) make strategic decisions; Hydra handles operational management (dispatch, retry, health checks, result collection).

Sub-agents output semantic intent (`done`/`needs_rework`/`replan`), not routing information. Hydra manages the lifecycle; you decide what happens next.

Why this design (vs. other coding-agent products)

  • **SWF decider pattern, specialized for LLM deciders.** Hydra is the AWS SWF / Cadence / Temporal decider pattern. `hydra watch` is `PollForDecisionTask`; the Lead is the decider; `lead_terminal_id` enforces single-decider semantics.
  • **Parallel-first, not bolted on.** `dispatch` + `depends_on` + worktree + `merge` are first-class. Other products (Factory.ai's Droid, Amp, Claude Code subagents) treat parallelism as open research; Hydra makes it the default.
  • **Typed result contract.** Workers publish a schema-validated `result.json` (`outcome: completed | stuck | error`, optional `stuck_reason: needs_clarification | needs_credentials | needs_context | blocked_technical`). Other products return free-text final messages and require downstream parsing.
  • **Lead intervention points.** `hydra reset --feedback` lets the Lead actually intervene at decision points instead of being block-and-join. A stale or wrong run is one `reset` away.

Lead operational rules

Core rules:

  • **Root cause first.** Fix the real implementation problem before changing tests, fixtures, or mocks.
  • **Do not hack tests** to force a green result. If a test is wrong, fix it honestly.
  • **No silent fallbacks** or swallowed errors. Surface failure with `outcome=stuck` or `outcome=error`.

Agent launch rule:

  • When dispatching Claude/Codex through TermCanvas, start a fresh agent terminal with `termcanvas terminal create --prompt "..."`.
  • Do not use `termcanvas terminal input` for task dispatch — it is not a supported automation path.

Telemetry polling:

  • Treat `hydra watch` as the main polling loop. Do not infer progress from terminal prose.
  • Before deciding wait / retry / takeover, query:
  • `termcanvas telemetry get --workflow <workflowId> --repo .`
  • `termcanvas telemetry get --terminal <terminalId>`
  • `termcanvas telemetry events --terminal <terminalId> --limit 20`
  • Watch the derived telemetry states: `awaiting_contract` means the worker has not yet published `result.json`; `stall_candidate` means the worker may be hung. Trust `derived_status` and `task_status` over terminal prose.

Core workflow

The Lead is the decider — Lead reads the codebase, makes the strategic calls, and dispatches workers for the steps that genuinely need a fresh agent process. There is no "researcher" role: the Lead does the research itself before deciding what to build.

hydra init --intent "Add OAuth login" --repo .
# → { workflow_id, worktree_path }

# (Lead reads the code, reviews related modules, decides the plan.)

hydra dispatch --workflow W --node dev --role dev \
  --intent "Implement OAuth middleware and its tests following the design in CLAUDE.md" --repo .
# → { node_id, assignment_id, status: "dispatched" }

hydra watch --workflow W --repo .
# → DecisionPoint: dev completed

hydra dispatch --workflow W --node review --role reviewer \
  --intent "Independent review of the OAuth change" \
  --depends-on dev --repo .

hydra watch --workflow W --repo .
# → DecisionPoint: review completed

hydra complete --workflow W --repo .

Parallel dev

When the Lead identifies independent work streams, dispatch multiple dev workers with isolated worktrees:

hydra dispatch --workflow W --node dev-frontend --role dev \
  --intent "Frontend OAuth components and their tests" \
  --worktree .worktrees/frontend --repo .

hydra dispatch --workflow W --node dev-backend --role dev \
  --intent "Backend OAuth middleware and its tests" \
  --worktree .worktrees/backend --repo .

hydra watch --workflow W --repo .
# → DecisionPoint: both completed

hydra merge --workflow W --nodes dev-frontend,dev-backend --repo .

Handling agent results

When `watchUntilDecision` returns a `node_completed` DecisionPoint:

1. Check `outcome`:

  • **`completed`** — agent finished. Read `report_file` to decide next step.
  • **`stuck`** — agent can't proceed. Read `report_file` for what's needed.
  • **`error`** — Hydra already retried; if still failing, it reports to you.

2. Read the `report.md` referenced by `report_file` to decide:

  • Dispatch next node → `hydra dispatch ...`
  • Reset for rework → `hydra reset --workflow W --node dev --feedback "..." --repo .`
  • Re-dispatch after reset → `hydra redispatch --workflow W --node dev --repo .`
  • Complete workflow → `hydra complete --workflow W --repo .`

Hydra promotes blocked nodes to eligible automatically, but **you decide when to dispatch**. Check `newly_eligible` in the DecisionPoint to see what's ready.

Agent role guidance

The role file (in `.hydra/roles/<name>.md` or shipped builtin) declares an ordered `terminals[]` list of CLI / model / reasoning_effort triples. Hydra always picks `terminals[0]` for now; future fallback logic walks the list. The Lead chooses **which role** to dispatch — the role file chooses **which CLI** to invoke and at what reasoning level.

**lead** — The Hydra decider itself. Not dispatched by `hydra dispatch`; this role file codifies what the Lead terminal (the one holding the `lead_terminal_id` lock and talking to the human) is supposed to be. Default: Claude Opus at max reasoning.

**dev** — Writes code AND the tests that cover it. A dev-produced change is not complete until its test surface covers the new behavior. Default: Claude Opus at max reasoning, codex fallback.

**reviewer** — Independent cross-model second opinion at the highest

Read more
Ships withtermcanvas

Your terminals, on an infinite canvas. TermCanvas spreads all your terminals across an infinite spatial canvas — no more tabs, no more split panes. Drag them around, zoom in to focus, zoom out to see the big picture.

Get the whole plugin
Stats
380
Stars
32
Forks
Maintained
Maintenance
TypeScript
Language
MIT
License
2mo ago
Last commit
4mo ago
Created

Repo: blueberrycongee/termcanvas