claw/docs/superpowers/plans/2026-04-17-enhanced-llm-extraction-schema-plan.md

Enhanced LLM Extraction Schema - Implementation Plan

For agentic workers: REQUIRED SUB-SKILL: Use superpowers:subagent-driven-development (recommended) or superpowers:executing-plans to implement this plan task-by-task. Steps use checkbox (- [ ]) syntax for tracking.

Goal: Enhance the LLM extraction schema to support multi-mode business logic, enabling automatic generation of scripts like tq-lineloss-report that switch between month/week modes.

Architecture: Extend existing SceneInfoJson in Rust with new mode-related structs. Enhance LLM prompt in llm-client.js to detect multi-mode patterns. Add new template function browser_script_with_modes() for generating mode-aware JavaScript.

Tech Stack: Rust (serde_json), JavaScript (Node.js), LLM API

---

File Structure

File	Action	Purpose
src/generated_scene/generator.rs	Modify	Add mode-related schema structs and multi-mode template
frontend/scene-generator/llm-client.js	Modify	Enhance DEEP_SYSTEM_PROMPT for mode detection
frontend/scene-generator/server.js	Modify	Handle enhanced schema in deep analysis endpoint

---

Task 1: Add Rust Schema Structs for Multi-Mode Support

Files:

• Modify: src/generated_scene/generator.rs (after line 21)

Goal: Add new Rust structs to parse the enhanced JSON schema with modes support.

• Step 1: Add ModeConditionJson struct

Add after ApiEndpointJson struct (line 21):

#[derive(Debug, Clone, serde::Serialize, serde::Deserialize)]
pub struct ModeConditionJson {
    pub field: String,
    #[serde(default = "default_equals")]
    pub operator: String,
    pub value: serde_json::Value,
}

fn default_equals() -> String {
    "equals".to_string()
}

• Step 2: Add NormalizeRulesJson struct

Add after ModeConditionJson:

#[derive(Debug, Clone, serde::Serialize, serde::Deserialize)]
pub struct NormalizeRulesJson {
    #[serde(rename = "type", default = "default_validate_all")]
    pub rules_type: String,
    #[serde(default)]
    pub required_fields: Vec<String>,
    #[serde(default = "default_true")]
    pub filter_null: bool,
}

fn default_validate_all() -> String {
    "validate_all_columns".to_string()
}

fn default_true() -> bool {
    true
}

• Step 3: Add ModeConfigJson struct

Add after NormalizeRulesJson:

#[derive(Debug, Clone, serde::Serialize, serde::Deserialize)]
pub struct ModeConfigJson {
    pub name: String,
    #[serde(default)]
    pub label: Option<String>,
    pub condition: ModeConditionJson,
    #[serde(rename = "apiEndpoint")]
    pub api_endpoint: ApiEndpointEnhancedJson,
    #[serde(rename = "columnDefs", default)]
    pub column_defs: Vec<(String, String)>,
    #[serde(rename = "requestTemplate", default)]
    pub request_template: Option<serde_json::Value>,
    #[serde(rename = "normalizeRules", default)]
    pub normalize_rules: Option<NormalizeRulesJson>,
    #[serde(rename = "responsePath", default)]
    pub response_path: Option<String>,
}

• Step 4: Add ApiEndpointEnhancedJson struct

Add before ModeConfigJson:

#[derive(Debug, Clone, serde::Serialize, serde::Deserialize)]
pub struct ApiEndpointEnhancedJson {
    pub name: String,
    pub url: String,
    #[serde(default)]
    pub method: String,
    #[serde(rename = "contentType", default)]
    pub content_type: Option<String>,
    #[serde(default)]
    pub description: Option<String>,
}

• Step 5: Enhance SceneInfoJson struct

Modify SceneInfoJson to add mode fields (add after line 54, before the closing brace):

    // Multi-mode support (new fields)
    #[serde(default)]
    pub modes: Vec<ModeConfigJson>,
    #[serde(rename = "defaultMode", default)]
    pub default_mode: Option<String>,
    #[serde(rename = "modeSwitchField", default)]
    pub mode_switch_field: Option<String>,

• Step 6: Verify the changes

Run cargo check to verify:

cargo check

Expected: No compilation errors.

• Step 7: Commit

git add src/generated_scene/generator.rs
git commit -m "feat(generator): add multi-mode schema structs for enhanced LLM extraction"

---

Task 2: Enhance LLM Extraction Prompt

Files:

• Modify: frontend/scene-generator/llm-client.js (lines 16-46)

Goal: Enhance DEEP_SYSTEM_PROMPT to instruct LLM to detect multi-mode business logic.

• Step 1: Replace DEEP_SYSTEM_PROMPT with enhanced version

Replace the entire DEEP_SYSTEM_PROMPT constant (lines 16-46):

const DEEP_SYSTEM_PROMPT = `你是一个场景代码分析专家。分析场景源码，提取关键业务信息。

## 分析目标

1. **多模式识别** (关键):
   - 查找条件分支逻辑 (if/switch) 中基于 period_mode、reportType 等字段的分支
   - 识别不同分支对应的 API 端点、列定义、请求格式
   - 如果发现多模式，使用 modes 数组格式输出

2. **API 端点**: 识别所有 HTTP 请求地址 (URL, method, contentType, 用途)
   - 从 $.ajax/fetch 调用中提取 contentType
   - 检测请求格式: application/json 或 application/x-www-form-urlencoded

3. **请求模板**: 识别请求参数结构
   - 提取硬编码的分页参数 (rows, page, sidx, sord)
   - 识别模板变量如 \${args.org_code}

4. **数据归一化**: 识别数据处理规则
   - 查找数据渲染/表格填充逻辑
   - 检测数据验证条件 (哪些字段不能为空)

5. **响应路径**: 识别数据在响应中的位置
   - 如 response.content 或 response.data

## 输出格式

### 单模式场景 (无 modes 数组):
{
  "sceneId": "string",
  "sceneName": "string",
  "sceneKind": "report_collection | monitoring",
  "expectedDomain": "string",
  "targetUrl": "string",
  "apiEndpoints": [{"name": "", "url": "", "method": "POST"}],
  "staticParams": {"key": "value"},
  "columnDefs": [["fieldName", "中文列名"]]
}

### 多模式场景 (有 modes 数组):
{
  "sceneId": "tq-lineloss-report",
  "sceneName": "台区线损报表",
  "sceneKind": "report_collection",
  "modes": [
    {
      "name": "month",
      "label": "月度报表",
      "condition": {"field": "period_mode", "operator": "equals", "value": "month"},
      "apiEndpoint": {
        "name": "月度线损查询",
        "url": "http://...",
        "method": "POST",
        "contentType": "application/x-www-form-urlencoded"
      },
      "columnDefs": [["ORG_NAME", "供电单位"], ...],
      "requestTemplate": {"orgno": "\${args.org_code}", "rows": 1000, "page": 1},
      "normalizeRules": {"type": "validate_all_columns", "filterNull": true},
      "responsePath": "content"
    },
    {
      "name": "week",
      "label": "周报表",
      "condition": {"field": "period_mode", "operator": "equals", "value": "week"},
      "apiEndpoint": {...},
      "columnDefs": [...],
      ...
    }
  ],
  "defaultMode": "month",
  "modeSwitchField": "period_mode"
}

**重要**: 如果发现代码中有基于 period_mode 的 if/switch 分支，必须使用多模式格式输出！`;

• Step 2: Verify JavaScript syntax

node --check frontend/scene-generator/llm-client.js

Expected: No syntax errors.

• Step 3: Commit

git add frontend/scene-generator/llm-client.js
git commit -m "feat(llm): enhance DEEP_SYSTEM_PROMPT for multi-mode detection"

---

Task 3: Implement Multi-Mode Template in Rust

Files:

• Modify: src/generated_scene/generator.rs (add new function after browser_script_with_business_logic)

Goal: Add a new template function that generates mode-aware JavaScript.

• Step 1: Add browser_script_with_modes function

Add after browser_script_with_business_logic function (after line 476):

fn browser_script_with_modes(scene_id: &str, scene_info: &SceneInfoJson) -> String {
    let modes_json = serde_json::to_string_pretty(&scene_info.modes).unwrap_or_else(|_| "[]".to_string());
    let default_mode = scene_info.default_mode.as_deref().unwrap_or("month");
    let mode_switch_field = scene_info.mode_switch_field.as_deref().unwrap_or("period_mode");

    format!(r#"const REPORT_NAME = '{scene_id}';
const MODES = {modes_json};
const DEFAULT_MODE = '{default_mode}';
const MODE_SWITCH_FIELD = '{mode_switch_field}';

function normalizePayload(payload) {{
  if (typeof payload === 'string') {{
    try {{ return JSON.parse(payload); }} catch (_) {{ return {{}}; }}
  }}
  return payload && typeof payload === 'object' ? payload : {{}};
}}

function validateArgs(args) {{
  const errors = [];
  if (!args.org_code) errors.push('Missing org_code');
  if (!args.period_value) errors.push('Missing period_value');
  return {{ valid: errors.length === 0, errors }};
}}

function detectMode(args) {{
  const modeValue = args[MODE_SWITCH_FIELD] || DEFAULT_MODE;
  return MODES.find(m => m.condition.value === modeValue) || MODES[0];
}}

function buildModeRequest(args, mode) {{
  const endpoint = mode.apiEndpoint;
  const template = mode.requestTemplate || {{}};
  const contentType = endpoint.contentType || 'application/json';
  const url = endpoint.url;
  const method = endpoint.method || 'POST';

  let body;
  if (contentType === 'application/x-www-form-urlencoded') {{
    body = {{ ...template }};
    for (const [key, value] of Object.entries(body)) {{
      if (typeof value === 'string' && value.startsWith('${{') && value.endsWith('}}')) {{
        const expr = value.slice(2, -1);
        try {{
          body[key] = eval(expr);
        }} catch (e) {{
          body[key] = args.org_code;
        }}
      }}
    }}
    body.orgno = args.org_code;
  }} else {{
    body = JSON.stringify({{ ...template, ...args }});
  }}

  return {{ url, method, headers: {{ 'Content-Type': contentType }}, body }};
}}

function normalizeModeRows(data, mode) {{
  const rules = mode.normalizeRules || {{ type: 'validate_all_columns', filterNull: true }};
  const columns = mode.columnDefs.map(([key]) => key);

  if (!Array.isArray(data)) return [];

  return data.map(row => {{
    const result = {{}};
    for (const key of columns) {{
      const v = row[key];
      result[key] = (v === null || v === undefined || v === '') ? '' : String(v).trim();
    }}
    return result;
  }}).filter(row => {{
    if (!rules.filterNull) return true;
    if (rules.type === 'validate_required' && rules.requiredFields) {{
      return rules.requiredFields.every(f => row[f] !== '');
    }}
    return columns.every(k => row[k] !== '');
  }});
}}

function determineArtifactStatus({{ blockedReason = '', fatalError = '', reasons = [], rows = [] }}) {{
  if (blockedReason) return 'blocked';
  if (fatalError) return 'error';
  if (reasons.length > 0) return 'partial';
  if (!rows.length) return 'empty';
  return 'ok';
}}

function buildArtifact({{ status, blockedReason = '', fatalError = '', reasons = [], rows = [], args, columnDefs, columns }}) {{
  return {{
    type: 'report-artifact',
    report_name: REPORT_NAME,
    status: status || determineArtifactStatus({{ blockedReason, fatalError, reasons, rows }}),
    period: {{
      mode: args.period_mode,
      mode_code: args.period_mode_code,
      value: args.period_value,
      payload: normalizePayload(args.period_payload)
    }},
    org: {{ label: args.org_label, code: args.org_code }},
    column_defs: columnDefs || [],
    columns: columns || [],
    rows,
    counts: {{ detail_rows: rows.length }},
    partial_reasons: reasons.filter(r => r && !r.startsWith('api_') && !r.startsWith('validation_')),
    reasons: Array.from(new Set(reasons.filter(Boolean)))
  }};
}}

const defaultDeps = {{
  validatePageContext(args) {{
    const host = (globalThis.location?.hostname || '').trim();
    const expected = (args.expected_domain || '').trim();
    if (!host) return {{ ok: false, reason: 'page_context_unavailable' }};
    if (host !== expected) return {{ ok: false, reason: 'page_context_mismatch' }};
    return {{ ok: true }};
  }},

  async queryModeData(args, mode) {{
    const endpoint = mode.apiEndpoint;
    const request = buildModeRequest(args, mode);
    const contentType = endpoint.contentType || 'application/json';

    // Prefer jQuery
    if (typeof $ !== 'undefined' && typeof $.ajax === 'function') {{
      return new Promise((resolve, reject) => {{
        $.ajax({{
          url: request.url,
          type: request.method,
          data: request.body,
          contentType: contentType,
          dataType: 'json',
          success: resolve,
          error: (xhr, status, err) => reject(new Error(
            `API failed (${{xhr.status}}): ${{err}} | body=${{(xhr.responseText || '').substring(0, 200)}}`
          ))
        }});
      }});
    }}

    // Fallback: fetch
    if (typeof fetch === 'function') {{
      const response = await fetch(request.url, {{
        method: request.method,
        headers: request.headers,
        body: request.method !== 'GET' ? request.body : undefined
      }});
      if (!response.ok) {{
        const text = await response.text().catch(() => '');
        throw new Error(`HTTP ${{response.status}}: ${{text.substring(0, 200)}}`);
      }}
      return response.json();
    }}

    throw new Error('No HTTP client available (need jQuery or fetch)');
  }}
}};

async function buildBrowserEntrypointResult(args, deps = defaultDeps) {{
  // 1. Parameter validation
  const validation = validateArgs(args);
  if (!validation.valid) {{
    const mode = detectMode(args);
    return buildArtifact({{
      status: 'blocked',
      blockedReason: 'validation_failed',
      reasons: validation.errors,
      rows: [],
      args,
      columnDefs: mode.columnDefs,
      columns: mode.columnDefs.map(([key]) => key)
    }});
  }}

  // 2. Page context validation
  const pageValidation = typeof deps.validatePageContext === 'function'
    ? deps.validatePageContext(args)
    : {{ ok: true }};
  if (!pageValidation?.ok) {{
    const mode = detectMode(args);
    return buildArtifact({{
      status: 'blocked',
      blockedReason: pageValidation?.reason || 'page_context_mismatch',
      reasons: [pageValidation?.reason || 'page_context_mismatch'],
      rows: [],
      args,
      columnDefs: mode.columnDefs,
      columns: mode.columnDefs.map(([key]) => key)
    }});
  }}

  // 3. Detect mode
  const mode = detectMode(args);

  // 4. Data fetching
  const reasons = [];
  let rawData = null;
  try {{
    rawData = await (deps.queryModeData ? deps.queryModeData(args, mode) : Promise.resolve([]));
  }} catch (error) {{
    return buildArtifact({{
      status: 'error',
      fatalError: error.message,
      reasons: ['api_query_failed:' + error.message],
      rows: [],
      args,
      columnDefs: mode.columnDefs,
      columns: mode.columnDefs.map(([key]) => key)
    }});
  }}

  // 5. Extract response data
  const responsePath = mode.responsePath || '';
  let data = rawData;
  if (responsePath && rawData) {{
    data = rawData[responsePath] || rawData;
  }}

  // 6. Row normalization
  const rows = normalizeModeRows(data, mode);
  if (rows.length === 0 && Array.isArray(data) && data.length > 0) {{
    reasons.push('row_normalization_partial');
  }}

  // 7. Build artifact
  return buildArtifact({{
    reasons,
    rows,
    args,
    columnDefs: mode.columnDefs,
    columns: mode.columnDefs.map(([key]) => key)
  }});
}}

if (typeof module !== 'undefined') {{
  module.exports = {{ buildBrowserEntrypointResult, normalizePayload, validateArgs, detectMode, buildModeRequest, normalizeModeRows, buildArtifact, determineArtifactStatus, MODES, REPORT_NAME }};
}}

if (typeof args !== 'undefined') {{
  return buildBrowserEntrypointResult(args);
}}
"#, scene_id = scene_id, modes_json = modes_json, default_mode = default_mode, mode_switch_field = mode_switch_field)
}

• Step 2: Modify browser_script function to use multi-mode template

Replace the browser_script function (lines 270-277):

fn browser_script(scene_id: &str, analysis: &SceneSourceAnalysis, scene_info: Option<&SceneInfoJson>) -> String {
    match scene_info {
        Some(info) if !info.modes.is_empty() => {
            browser_script_with_modes(scene_id, info)
        }
        Some(info) if !info.api_endpoints.is_empty() || !info.column_defs.is_empty() => {
            browser_script_with_business_logic(scene_id, analysis, info)
        }
        _ => browser_script_skeleton(scene_id, analysis),
    }
}

• Step 3: Verify compilation

cargo check

Expected: No errors.

• Step 4: Commit

git add src/generated_scene/generator.rs
git commit -m "feat(generator): add multi-mode template for mode-aware script generation"

---

Task 4: Add Unit Tests for Schema Parsing

Files:

• Create: src/generated_scene/generator_test.rs

Goal: Add tests to verify the enhanced schema parses correctly.

• Step 1: Create test file

Create src/generated_scene/generator_test.rs:

#[cfg(test)]
mod tests {
    use super::*;

    #[test]
    fn test_parse_mode_condition() {
        let json = r#"{"field": "period_mode", "operator": "equals", "value": "month"}"#;
        let condition: ModeConditionJson = serde_json::from_str(json).unwrap();
        assert_eq!(condition.field, "period_mode");
        assert_eq!(condition.operator, "equals");
        assert_eq!(condition.value.as_str().unwrap(), "month");
    }

    #[test]
    fn test_parse_normalize_rules() {
        let json = r#"{"type": "validate_required", "requiredFields": ["ORG_NAME"], "filterNull": true}"#;
        let rules: NormalizeRulesJson = serde_json::from_str(json).unwrap();
        assert_eq!(rules.rules_type, "validate_required");
        assert_eq!(rules.required_fields, vec!["ORG_NAME"]);
        assert!(rules.filter_null);
    }

    #[test]
    fn test_parse_mode_config() {
        let json = r#"{
            "name": "month",
            "label": "月度报表",
            "condition": {"field": "period_mode", "operator": "equals", "value": "month"},
            "apiEndpoint": {"name": "test", "url": "http://example.com", "method": "POST"},
            "columnDefs": [["ORG_NAME", "供电单位"]],
            "responsePath": "content"
        }"#;
        let mode: ModeConfigJson = serde_json::from_str(json).unwrap();
        assert_eq!(mode.name, "month");
        assert_eq!(mode.column_defs.len(), 1);
        assert_eq!(mode.response_path, Some("content".to_string()));
    }

    #[test]
    fn test_parse_scene_info_with_modes() {
        let json = r#"{
            "sceneId": "test-report",
            "sceneName": "测试报表",
            "sceneKind": "report_collection",
            "modes": [
                {"name": "month", "condition": {"field": "period_mode", "value": "month"}, "apiEndpoint": {"name": "m", "url": "http://a"}, "columnDefs": []},
                {"name": "week", "condition": {"field": "period_mode", "value": "week"}, "apiEndpoint": {"name": "w", "url": "http://b"}, "columnDefs": []}
            ],
            "defaultMode": "month",
            "modeSwitchField": "period_mode"
        }"#;
        let info: SceneInfoJson = serde_json::from_str(json).unwrap();
        assert_eq!(info.scene_id, "test-report");
        assert_eq!(info.modes.len(), 2);
        assert_eq!(info.default_mode, Some("month".to_string()));
    }

    #[test]
    fn test_parse_scene_info_backward_compatible() {
        // Old format without modes should still work
        let json = r#"{
            "sceneId": "old-report",
            "sceneName": "旧格式报表",
            "apiEndpoints": [{"name": "test", "url": "http://example.com"}],
            "columnDefs": [["col1", "列1"]]
        }"#;
        let info: SceneInfoJson = serde_json::from_str(json).unwrap();
        assert_eq!(info.scene_id, "old-report");
        assert!(info.modes.is_empty());
        assert_eq!(info.api_endpoints.len(), 1);
    }
}

• Step 2: Add test module to generator.rs

Add at the end of generator.rs:

#[cfg(test)]
mod generator_test;

• Step 3: Run tests

cargo test --lib generator

Expected: All tests pass.

• Step 4: Commit

git add src/generated_scene/generator_test.rs src/generated_scene/generator.rs
git commit -m "test(generator): add unit tests for multi-mode schema parsing"

---

Task 5: Integration Test with tq-lineloss-report

Files:

• Test: Generate skill from tq-lineloss-report source

Goal: Verify the enhanced template can generate a multi-mode script.

• Step 1: Build the project

cargo build --release

Expected: Build succeeds.

• Step 2: Create a test multi-mode scene-info JSON

Create a test JSON file to simulate LLM output:

{
  "sceneId": "tq-lineloss-test",
  "sceneName": "台区线损测试报表",
  "sceneKind": "report_collection",
  "modes": [
    {
      "name": "month",
      "label": "月度报表",
      "condition": {"field": "period_mode", "operator": "equals", "value": "month"},
      "apiEndpoint": {
        "name": "月度线损查询",
        "url": "http://20.76.57.61:18080/gsllys/fourVerEightHor/fourVerEightHorLinelossRateList",
        "method": "POST",
        "contentType": "application/x-www-form-urlencoded"
      },
      "columnDefs": [["ORG_NAME", "供电单位"], ["YGDL", "供电量"], ["YYDL", "售电量"]],
      "requestTemplate": {"orgno": "${args.org_code}", "rows": 1000, "page": 1, "sidx": "ORG_NO", "sord": "asc"},
      "normalizeRules": {"type": "validate_all_columns", "filterNull": true},
      "responsePath": "content"
    },
    {
      "name": "week",
      "label": "周报表",
      "condition": {"field": "period_mode", "operator": "equals", "value": "week"},
      "apiEndpoint": {
        "name": "周线损查询",
        "url": "http://20.76.57.61:18080/gsllys/tqLinelossStatis/getYearMonWeekLinelossAnalysisList",
        "method": "POST",
        "contentType": "application/x-www-form-urlencoded"
      },
      "columnDefs": [["ORG_NAME", "供电单位"], ["LINE_LOSS_RATE", "线损率"]],
      "requestTemplate": {"orgno": "${args.org_code}", "tjzq": "week", "rows": 1000},
      "normalizeRules": {"type": "validate_required", "requiredFields": ["ORG_NAME", "LINE_LOSS_RATE"], "filterNull": true},
      "responsePath": "content"
    }
  ],
  "defaultMode": "month",
  "modeSwitchField": "period_mode"
}

Save to tmp_multi_mode_test.json.

• Step 3: Run generator with the multi-mode JSON

cargo run --bin sg_scene_generate -- --source-dir "examples/test-scene" --scene-id "tq-lineloss-test" --scene-name "台区线损测试" --output-root "tmp_multi_test" --scene-info-json "$(cat tmp_multi_mode_test.json)"

Expected: Skill package generated without errors.

• Step 4: Verify generated script syntax

node --check tmp_multi_test/skills/tq-lineloss-test/scripts/collect_tq_lineloss_test.js

Expected: No syntax errors.

• Step 5: Verify generated script has multi-mode logic

Check that the generated script contains:

• detectMode() function

• MODES constant with mode configurations

• buildModeRequest() function

• normalizeModeRows() function

• Step 6: Commit

git add -A
git commit -m "test: verify multi-mode template generates valid JavaScript"

---

Task 6: Update Web UI to Display Mode Information

Files:

• Modify: frontend/scene-generator/sg_scene_generator.html

Goal: Add mode information display in the extraction preview panel.

• Step 1: Add mode display section

Add after the column defs display in the preview panel:

<div id="modes-preview" class="preview-section" style="display: none;">
  <h4>业务模式</h4>
  <div id="modes-list" class="preview-list"></div>
</div>

• Step 2: Add JavaScript to populate mode info

In the showExtractionPreview function, add:

// Show modes if present
const modesSection = document.getElementById('modes-preview');
const modesList = document.getElementById('modes-list');

if (data.modes && data.modes.length > 0) {
  modesSection.style.display = 'block';
  modesList.innerHTML = data.modes.map(mode => {
    const name = escapeHtml(mode.name || 'unknown');
    const label = escapeHtml(mode.label || '');
    const api = escapeHtml(mode.apiEndpoint?.url || '');
    return `<div class="preview-list-item">
      <strong>${name}</strong>${label ? ` (${label})` : ''}: ${api}
    </div>`;
  }).join('');
} else {
  modesSection.style.display = 'none';
}

• Step 3: Verify changes

node --check frontend/scene-generator/sg_scene_generator.html

Note: HTML files can't be syntax-checked directly, just verify the server starts.

• Step 4: Commit

git add frontend/scene-generator/sg_scene_generator.html
git commit -m "feat(ui): add mode information display in extraction preview"

---

Self-Review Checklist

1. Spec Coverage:

• Multi-mode schema structs → Task 1
• Enhanced LLM prompt → Task 2
• Multi-mode template → Task 3
• Unit tests → Task 4
• Integration test → Task 5
• UI update → Task 6

2. Placeholder Scan:

• No TBD, TODO, or placeholder text found
• All code snippets are complete
• All commands have expected output

3. Type Consistency:

• ModeConditionJson field names match JSON schema
• ModeConfigJson uses apiEndpoint (camelCase) matching JSON
• NormalizeRulesJson uses rules_type with serde rename

---

Execution Handoff

Plan complete and saved to docs/superpowers/plans/2026-04-17-enhanced-llm-extraction-schema-plan.md. Two execution options:

1. Subagent-Driven (recommended) - I dispatch a fresh subagent per task, review between tasks, fast iteration

2. Inline Execution - Execute tasks in this session using executing-plans, batch execution with checkpoints

Which approach?