hugocasaandClaude Opus 4.7
1fe79c2855
* fix: guard against null recording during FlowRecordingReplay teardown
Navigating away from a flow recording inside a workspace file-tree view
threw `TypeError: Cannot read properties of null (reading 'flow')` from
FlowGraphViewer once during the teardown tick.
Svelte 5 compiles child component props as live getters that close over
`$$props.recording.flow`. When `recording` flips to null on the parent's
navigation, an outer `{#if !recording?.flow}` doesn't stop those getters
from firing one more time as derived effects re-evaluate before the
unmount lands — so the getter dereferences null and throws.
Fix at the two layers where the deref actually happens:
- FlowRecordingReplay: use `recording?.flow` at the binding sites
(FlowViewer + graph-snippet FlowGraphViewer) so the compiler emits an
optional-chained getter, and guard the snippet branch with
`{:else if recording?.flow}` so it doesn't mount when there's nothing
to show.
- FlowGraphViewer: finish the optional chaining the rest of the file
already used everywhere else (`flow?.value?.skip_expr`,
`flow?.value?.cache_ttl`, `flow?.schema`). When the upstream
binding returns undefined during teardown, the graph degrades to an
empty frame instead of crashing.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* chore: rename package to @windmill-labs/components
- frontend/package.json: rename `windmill-components` → `@windmill-labs/components`
- frontend/publish.sh: drop the in-place sed rename dance; the checked-in name now matches what's published, so `npm run package && npm publish` is enough
- frontend/package-lock.json, system_prompts/auto-generated/prompts.d.ts: regenerated by `npm run package` under the new name
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
System Prompts
This directory contains the single source of truth for AI system prompts used by both the frontend copilot and CLI guidance.
Structure
system_prompts/
├── base/ # Core instruction templates (manually written)
│ ├── flow-base.md # Shared OpenFlow structure guidance
│ └── flow-cli.md # CLI/local-agent workflow guidance for write-flow skill
├── languages/ # Language-specific instructions (manually written)
└── auto-generated/ # Auto-generated files (DO NOT EDIT)
├── sdks/ # SDK documentation
├── cli/ # CLI command documentation
├── prompts.ts # TypeScript exports
└── index.ts # Helper functions
Usage
Regenerating Prompts
When SDK methods or the OpenFlow schema change, run:
python system_prompts/generate.py
To also refresh the standalone skills in a Claude plugin checkout:
python system_prompts/generate.py --plugin-dir ~/windmill-claude-plugin
--plugin-dir accepts:
- the
windmill-claude-pluginrepo root - a plugin root such as
plugins/windmill - a direct
skills/directory
To regenerate the public docs repo (consumed by context7):
python system_prompts/generate.py --context7-dir ~/windmill-cli-docs
--context7-dir writes a fully-rendered snapshot (AGENTS.md,
cli-commands.md, skills/<name>/SKILL.md, README.md, manifest.json
with the Windmill version) with all template placeholders resolved —
suitable for ingestion by docs aggregators. In CI this runs from
.github/workflows/publish-cli-docs.yml on every release tag. The
generator refuses to wipe the target directory unless it's empty or has
a context7 marker (context7.json, manifest.json, or a
windmill-cli-docs git remote), so a typo can't delete unrelated files.
This will:
- Parse TypeScript and Python SDK files to extract function signatures
- Parse the OpenFlow YAML schema
- Parse the CLI commands
- Assemble complete prompts from markdown files
- Generate TypeScript exports in
auto-generated/ - Optionally refresh plugin-ready standalone
SKILL.mdfiles in the target directory
Scope
These system prompts contain ONLY:
- How to write Windmill scripts (language syntax, conventions, SDK usage)
- How to structure Windmill flows (OpenFlow schema, module types, data flow)
- Resource type handling, S3 operations
They DO NOT contain:
- Tool usage instructions (edit_code, set_flow_json, etc.)
- IDE/editor specific commands
- Testing tool invocations
Tool instructions are added separately by the frontend and CLI.
CLI-only workflow instructions live in base/flow-cli.md and are included in the
generated write-flow skill for wmill init. They are intentionally excluded
from the frontend flow chat prompt.
Integration
Frontend
Uses Vite path alias $system_prompts pointing to auto-generated/:
import { FLOW_GUIDANCE } from "$system_prompts/flow";
import { getLangContext } from "$system_prompts/languages";
CLI
Generates /cli/src/guidance/skills.gen.ts with embedded skill content for wmill init.
Editing Guidelines
- Edit markdown files in
base/,languages/ - Never edit files in
auto-generated/directly - After editing, run
generate.pyto update exports