Files
github-spec-kit/docs/reference/workflows.md
Huy Do 141119efea feat(workflows): add JSON output for workflow run resume and status (#2814)
* feat(workflows): add --json output to workflow run, resume, and status

Adds an opt-in `--json` flag to `workflow run`, `workflow resume`, and
`workflow status` that emits a single machine-readable object (run_id,
workflow_id, status, current step; status also reports per-step states
and a runs list) for automation and external orchestrators.

JSON is written via a small `_emit_workflow_json` helper using plain
stdout, so Rich markup, highlighting, and line-wrapping can never alter
the emitted object. Default human-readable output and exit codes are
unchanged when `--json` is omitted. Reference docs updated.

Closes #2811.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* fix(workflows): keep --json stdout clean while steps write output

Suppressing the banner and the step-start callback was not enough to
guarantee a single parseable JSON object on stdout: individual steps still
write there while the engine runs. The gate step prints its prompt, and the
prompt step runs a CLI subprocess that inherits the process's stdout file
descriptor — either can corrupt the JSON stream for interactive runs or
integration-backed workflows.

Wrap engine.execute()/engine.resume() in a file-descriptor-level redirect
(dup2) when --json is set, so both Python-level writes and inherited-fd
subprocess output go to stderr while stdout carries only the emitted JSON.
Step progress stays visible on stderr. status does not run the engine, so
it is unaffected.

Tests cover both pollution channels (a Python print and a real subprocess)
via fd-level capture, and the inactive no-op path. Docs note the
stdout/stderr split.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* docs(workflows): fix stray escape sequence in --json redirect comments

The redirect helper's docstring and its test comment wrote ``print``\s,
which renders as "print\s" rather than "prints". Replace with plain
"prints".

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-04 11:11:39 -05:00

324 lines
10 KiB
Markdown

# Workflows
Workflows automate multi-step Spec-Driven Development processes — chaining commands, prompts, shell steps, and human checkpoints into repeatable sequences. They support conditional logic, loops, fan-out/fan-in, and can be paused and resumed from the exact point of interruption.
## Run a Workflow
```bash
specify workflow run <source>
```
| Option | Description |
| ------------------- | -------------------------------------------------------- |
| `-i` / `--input` | Pass input values as `key=value` (repeatable) |
| `--json` | Emit the run outcome as a single JSON object |
Runs a workflow from a catalog ID, URL, or local file path. Inputs declared by the workflow can be provided via `--input` or will be prompted interactively.
Example:
```bash
specify workflow run speckit -i spec="Build a kanban board with drag-and-drop task management" -i scope=full
```
With `--json`, a single machine-readable object is printed instead of formatted text (the default output is unchanged when the flag is omitted):
```bash
specify workflow run my-pipeline.yml --json
```
```json
{
"run_id": "662bf791",
"workflow_id": "build-and-review",
"status": "paused",
"current_step_id": "review",
"current_step_index": 0
}
```
`workflow_id` is the `workflow.id` declared inside the YAML, not the file name. The object is printed exactly as shown — pretty-printed with two-space indentation, on plain stdout with no Rich markup — so it always parses. While the workflow runs under `--json`, any progress a step would print (for example a gate prompt, or output from a prompt step's CLI subprocess) is redirected to stderr, so stdout carries only the JSON object. Read the object from stdout; leave stderr attached to the terminal or capture it separately.
> **Note:** Most workflow commands require a project already initialized with `specify init`. The exception is `specify workflow run <local-file.{yml,yaml}>`, which can run outside a project; in that case, run state is stored under the current directory's `.specify/workflows/runs/<run_id>/`.
## Resume a Workflow
```bash
specify workflow resume <run_id>
```
| Option | Description |
| ------------------- | -------------------------------------------------------- |
| `-i` / `--input` | Updated input values as `key=value` (repeatable) |
| `--json` | Emit the resume outcome as a single JSON object |
Resumes a paused or failed workflow run from the exact step where it stopped. Useful after responding to a gate step or fixing an issue that caused a failure.
Supplied `--input` values are merged over the run's stored inputs and re-validated against the workflow's input types, then the blocked step is re-run with the updated values. This lets a run continue with information that only became available after it paused, or with a corrected value after a failure:
```bash
specify workflow resume <run_id> --input cmd="exit 0"
```
## Workflow Status
```bash
specify workflow status [<run_id>]
```
| Option | Description |
| ------------------- | -------------------------------------------------------- |
| `--json` | Emit run status (or the runs list) as a JSON object |
Shows the status of a specific run, or lists all runs if no ID is given. Run states: `created`, `running`, `completed`, `paused`, `failed`, `aborted`.
## List Installed Workflows
```bash
specify workflow list
```
Lists workflows installed in the current project.
## Install a Workflow
```bash
specify workflow add <source>
```
Installs a workflow from the catalog, a URL (HTTPS required), or a local file path.
## Remove a Workflow
```bash
specify workflow remove <workflow_id>
```
Removes an installed workflow from the project.
## Search Available Workflows
```bash
specify workflow search [query]
```
| Option | Description |
| ------- | --------------- |
| `--tag` | Filter by tag |
Searches all active catalogs for workflows matching the query.
## Workflow Info
```bash
specify workflow info <workflow_id>
```
Shows detailed information about a workflow, including its steps, inputs, and requirements.
## Catalog Management
Workflow catalogs control where `search` and `add` look for workflows. Catalogs are checked in priority order.
### List Catalogs
```bash
specify workflow catalog list
```
Shows all active catalog sources.
### Add a Catalog
```bash
specify workflow catalog add <url>
```
| Option | Description |
| --------------- | -------------------------------- |
| `--name <name>` | Optional name for the catalog |
Adds a custom catalog URL to the project's `.specify/workflow-catalogs.yml`.
### Remove a Catalog
```bash
specify workflow catalog remove <index>
```
Removes a catalog by its index in the catalog list.
### Catalog Resolution Order
Catalogs are resolved in this order (first match wins):
1. **Environment variable**`SPECKIT_WORKFLOW_CATALOG_URL` overrides all catalogs
2. **Project config**`.specify/workflow-catalogs.yml`
3. **User config**`~/.specify/workflow-catalogs.yml`
4. **Built-in defaults** — official catalog + community catalog
## Workflow Definition
Workflows are defined in YAML files. Here is the built-in **Full SDD Cycle** workflow that ships with Spec Kit:
```yaml
schema_version: "1.0"
workflow:
id: "speckit"
name: "Full SDD Cycle"
version: "1.0.0"
author: "GitHub"
description: "Runs specify → plan → tasks → implement with review gates"
requires:
speckit_version: ">=0.7.2"
integrations:
any: ["copilot", "claude", "gemini"]
inputs:
spec:
type: string
required: true
prompt: "Describe what you want to build"
integration:
type: string
default: "copilot"
prompt: "Integration to use (e.g. claude, copilot, gemini)"
scope:
type: string
default: "full"
enum: ["full", "backend-only", "frontend-only"]
steps:
- id: specify
command: speckit.specify
integration: "{{ inputs.integration }}"
input:
args: "{{ inputs.spec }}"
- id: review-spec
type: gate
message: "Review the generated spec before planning."
options: [approve, reject]
on_reject: abort
- id: plan
command: speckit.plan
integration: "{{ inputs.integration }}"
input:
args: "{{ inputs.spec }}"
- id: review-plan
type: gate
message: "Review the plan before generating tasks."
options: [approve, reject]
on_reject: abort
- id: tasks
command: speckit.tasks
integration: "{{ inputs.integration }}"
input:
args: "{{ inputs.spec }}"
- id: implement
command: speckit.implement
integration: "{{ inputs.integration }}"
input:
args: "{{ inputs.spec }}"
```
This produces the following execution flow:
```mermaid
flowchart TB
A["specify<br/>(command)"] --> B{"review-spec<br/>(gate)"}
B -- approve --> C["plan<br/>(command)"]
B -- reject --> X1["⏹ Abort"]
C --> D{"review-plan<br/>(gate)"}
D -- approve --> E["tasks<br/>(command)"]
D -- reject --> X2["⏹ Abort"]
E --> F["implement<br/>(command)"]
style A fill:#49a,color:#fff
style B fill:#a94,color:#fff
style C fill:#49a,color:#fff
style D fill:#a94,color:#fff
style E fill:#49a,color:#fff
style F fill:#49a,color:#fff
style X1 fill:#999,color:#fff
style X2 fill:#999,color:#fff
```
Run it with:
```bash
specify workflow run speckit -i spec="Build a kanban board with drag-and-drop task management"
```
## Step Types
| Type | Purpose |
| ------------ | ------------------------------------------------ |
| `command` | Invoke a Spec Kit command (e.g., `speckit.plan`) |
| `prompt` | Send an arbitrary prompt to the AI coding agent |
| `shell` | Execute a shell command and capture output |
| `gate` | Pause for human approval before continuing |
| `if` | Conditional branching (then/else) |
| `switch` | Multi-branch dispatch on an expression |
| `while` | Loop while a condition is true |
| `do-while` | Execute at least once, then loop on condition |
| `fan-out` | Dispatch a step for each item in a list |
| `fan-in` | Aggregate results from a fan-out step |
## Expressions
Steps can reference inputs and previous step outputs using `{{ expression }}` syntax:
| Namespace | Description |
| ------------------------------ | ------------------------------------ |
| `inputs.spec` | Workflow input values |
| `steps.specify.output.file` | Output from a previous step |
| `item` | Current item in a fan-out iteration |
Available filters: `default`, `join`, `contains`, `map`.
Example:
```yaml
condition: "{{ steps.test.output.exit_code == 0 }}"
args: "{{ inputs.spec }}"
message: "{{ status | default('pending') }}"
```
## Input Types
| Type | Coercion |
| --------- | ------------------------------------------------- |
| `string` | Pass-through |
| `number` | `"42"``42`, `"3.14"``3.14` |
| `boolean` | `"true"` / `"1"` / `"yes"``True` |
## State and Resume
Each workflow run persists its state at `.specify/workflows/runs/<run_id>/`:
- `state.json` — current run state and step progress
- `inputs.json` — resolved input values
- `log.jsonl` — step-by-step execution log
This enables `specify workflow resume` to continue from the exact step where a run was paused (e.g., at a gate) or failed.
## FAQ
### What happens when a workflow hits a gate step?
The workflow pauses and waits for human input. Run `specify workflow resume <run_id>` after reviewing to continue.
### Can I run the same workflow multiple times?
Yes. Each run gets a unique ID and its own state directory. Use `specify workflow status` to see all runs.
### Who maintains workflows?
Most workflows are independently created and maintained by their respective authors. The Spec Kit maintainers do not review, audit, endorse, or support workflow code. Review a workflow's source before installing and use at your own discretion.