Adding skills for reusable work

This commit is contained in:
Illia Polosukhin
2026-02-06 21:25:14 -08:00
parent bf3b8b339f
commit 6bcc168ec5
3 changed files with 209 additions and 0 deletions
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---
description: Scaffold a new SSE event end-to-end (Rust backend to web frontend)
allowed-tools: Read, Edit, Write, Glob, Grep, Bash(cargo fmt:*), Bash(cargo clippy:*), Bash(cargo test:*)
argument-hint: <event_name> [description]
model: opus
---
Add a new SSE event called `$ARGUMENTS` to the IronClaw web gateway. This involves changes across 5 files in a specific order. Follow each step exactly.
## Step 1: Add `StatusUpdate` variant
**File**: `src/channels/channel.rs`
Find the `StatusUpdate` enum and add a new variant. Use the event name in PascalCase. Include any fields the event needs as named fields (not a generic String).
Example for reference (existing variants):
```rust
pub enum StatusUpdate {
Thinking(String),
ToolStarted { name: String },
ToolCompleted { name: String, success: bool },
Status(String),
ApprovalNeeded {
request_id: String,
tool_name: String,
description: String,
parameters: serde_json::Value,
},
}
```
## Step 2: Map to `SseEvent` in web channel
**File**: `src/channels/web/mod.rs`
Find the `send_status` method in the `Channel` impl for `WebChannel`. Add a match arm for the new `StatusUpdate` variant that maps it to an `SseEvent`. The SSE event name should be snake_case.
Look at existing match arms for the pattern. The event data is serialized as JSON.
## Step 3: Add types if needed
**File**: `src/channels/web/types.rs`
If the event carries structured data beyond a simple string, add a serializable DTO struct here. Use `#[derive(Debug, Clone, Serialize, Deserialize)]`. Follow the existing patterns in the file.
## Step 4: Add frontend handler
**File**: `src/channels/web/static/app.js`
In the `connectSSE()` function, add a new `eventSource.addEventListener()` for the snake_case event name. Parse the JSON data and call a handler function.
Create the handler function that updates the DOM. Follow existing patterns:
- `showApproval(data)` for complex card-style UI
- `addMessage(role, content)` for simple text
- `setStatus(text, spinning)` for status bar updates
## Step 5: Add CSS if needed
**File**: `src/channels/web/static/style.css`
If the event needs custom UI (cards, badges, etc.), add styles. Follow the existing naming conventions (`.approval-card`, `.log-entry`, etc.).
## Step 6: Send the event from Rust
Identify where in the backend this event should be triggered. Common locations:
- `src/agent/agent_loop.rs` - During message processing or tool execution
- `src/agent/worker.rs` - During job execution
- `src/agent/heartbeat.rs` - During periodic execution
Use the existing pattern:
```rust
let _ = self.channels.send_status(
&message.channel,
StatusUpdate::YourNewVariant { ... },
&message.metadata,
).await;
```
## Step 7: Quality gate
Run `cargo fmt` and `cargo clippy --all --benches --tests --examples --all-features` to verify the changes compile cleanly.
## Checklist
Before finishing, verify:
- [ ] `StatusUpdate` variant added in `channel.rs`
- [ ] Match arm added in `web/mod.rs` `send_status`
- [ ] DTO added in `types.rs` (if needed)
- [ ] `addEventListener` added in `app.js`
- [ ] Handler function created in `app.js`
- [ ] CSS styles added (if needed)
- [ ] Event sent from appropriate backend location
- [ ] `cargo fmt` clean
- [ ] `cargo clippy` clean
- [ ] Non-web channels unaffected (they ignore unknown StatusUpdate variants)
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---
description: Run the full Rust quality gate (fmt, clippy, tests) before shipping changes
allowed-tools: Bash(cargo fmt:*), Bash(cargo clippy:*), Bash(cargo test:*)
---
Run the IronClaw shipping checklist. This is the mandatory quality gate before any change is considered done.
## Steps
1. **Format**: Run `cargo fmt` to normalize formatting.
2. **Lint**: Run `cargo clippy --all --benches --tests --examples --all-features` and report any warnings or errors. ALL clippy warnings must be resolved before proceeding.
3. **Test**: Run `cargo test --lib` to execute the full library test suite. Report the total pass/fail count.
4. **Summary**: Report results for all three steps. If any step failed, list the specific errors and suggest fixes. Do NOT proceed past a failing step.
If `$ARGUMENTS` is provided, treat it as a specific test filter and run `cargo test --lib -- $ARGUMENTS` instead of the full suite in step 3.
The expected outcome for a clean ship is:
- `cargo fmt` produces no changes
- `cargo clippy` has zero warnings
- All tests pass
Note: Integration tests (`--test workspace_integration`) require a PostgreSQL database and are expected to fail locally. Only report `--lib` test failures as blocking.
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---
description: Trace a data flow or bug through the IronClaw codebase end-to-end
allowed-tools: Read, Glob, Grep, Bash(cargo test:*)
argument-hint: <symptom or feature name>
model: sonnet
---
Trace the flow of `$ARGUMENTS` through the IronClaw codebase. Your job is to map every file and function involved, identify where data transforms or could break, and report the full chain.
## Architecture Reference
IronClaw has three main data flow paths. Identify which one(s) are relevant and trace through them:
### Message Flow (user input to LLM response)
```
Channel (cli/web/wasm) → IncomingMessage
→ Agent::run() message loop (agent_loop.rs)
→ handle_message() dispatches by Submission type
→ SubmissionParser::parse() (submission.rs) classifies input
→ process_user_input() for new turns
→ process_approval() for tool approval responses
→ handle_command() for /commands
→ run_agentic_loop() iterates LLM calls
→ Reasoning::respond_with_tools() (reasoning.rs)
→ LlmProvider::complete_with_tools() (nearai_chat.rs or nearai.rs)
→ Tool execution with approval gating
→ Context message accumulation
→ Response flows back through Channel::send_response()
```
### SSE Event Flow (backend status to web UI)
```
StatusUpdate variant (channel.rs)
→ Channel::send_status() trait method
→ WebChannel::send_status() (web/mod.rs) maps to SseEvent
→ broadcast via tokio::broadcast channel
→ SSE endpoint streams events (web/server.rs)
→ Browser EventSource listener (app.js)
→ DOM update function
→ CSS styling (style.css)
```
### Tool Flow (tool definition to execution)
```
Tool trait impl (tools/builtin/*.rs or tools/mcp/client.rs or tools/wasm/wrapper.rs)
→ ToolRegistry::register() (tools/registry.rs)
→ tool_definitions() builds Vec<ToolDefinition> for LLM
→ ToolDefinition { name, description, parameters } (llm/provider.rs)
→ Serialized to ChatCompletionTool (nearai_chat.rs)
→ LLM returns ToolCall { id, name, arguments }
→ agent_loop.rs executes via execute_chat_tool()
→ Safety layer sanitizes output
→ Result added as ChatMessage::tool_result()
```
## Tracing Instructions
1. **Read** each file in the relevant flow path, focusing on the functions that handle the data.
2. **Identify transforms**: Where does the data change shape? (e.g., `McpTool.input_schema``ToolDefinition.parameters``ChatCompletionTool.function.parameters`)
3. **Identify failure points**: Where could the data be lost, malformed, or misrouted?
4. **Report the chain**: List every file:line involved, what happens at each step, and where the issue (if any) is.
## Key Files Quick Reference
| Area | File | Key Functions |
|------|------|---------------|
| Message dispatch | `src/agent/agent_loop.rs` | `handle_message`, `process_user_input`, `process_approval`, `run_agentic_loop` |
| Input parsing | `src/agent/submission.rs` | `SubmissionParser::parse` |
| LLM reasoning | `src/llm/reasoning.rs` | `respond_with_tools`, `select_tools`, `plan` |
| Chat completions | `src/llm/nearai_chat.rs` | `complete_with_tools`, `From<ChatMessage>` |
| Responses API | `src/llm/nearai.rs` | `complete_with_tools`, `split_messages` |
| Channel trait | `src/channels/channel.rs` | `Channel`, `StatusUpdate`, `IncomingMessage` |
| Web gateway | `src/channels/web/mod.rs` | `send_status`, `send_response` |
| Web server | `src/channels/web/server.rs` | Route handlers, SSE endpoints |
| Web frontend | `src/channels/web/static/app.js` | SSE listeners, DOM builders |
| Tool registry | `src/tools/registry.rs` | `tool_definitions`, `get`, `register` |
| MCP tools | `src/tools/mcp/client.rs` | `McpToolWrapper`, `list_tools`, `call_tool` |
| MCP protocol | `src/tools/mcp/protocol.rs` | `McpTool`, `inputSchema` |
| Safety | `src/safety/sanitizer.rs` | `sanitize_tool_output`, `wrap_for_llm` |
| Session state | `src/agent/session.rs` | `ThreadState`, `Turn`, `PendingApproval` |
## Output Format
Report your findings as:
1. **Flow path**: The specific chain of files and functions involved
2. **Data transforms**: How the data changes at each step
3. **Findings**: Any bugs, missing data, or suspicious patterns
4. **Recommendation**: What to fix or investigate further