openclaw-json-editing
Advanced JSON editing for OpenClaw configuration files, tools, and data structures. Handles JSON5 configs, schema validation, merge patching, env var substitution, and type-safe modifications.
Best use case
openclaw-json-editing is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Advanced JSON editing for OpenClaw configuration files, tools, and data structures. Handles JSON5 configs, schema validation, merge patching, env var substitution, and type-safe modifications.
Teams using openclaw-json-editing should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/openclaw-json-editing/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How openclaw-json-editing Compares
| Feature / Agent | openclaw-json-editing | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Advanced JSON editing for OpenClaw configuration files, tools, and data structures. Handles JSON5 configs, schema validation, merge patching, env var substitution, and type-safe modifications.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# OpenClaw JSON Editing
Expert guidance for editing JSON in the OpenClaw ecosystem. OpenClaw uses **JSON5** for configuration (allows comments, trailing commas), has sophisticated config merging, and validates with **Zod schemas**.
## Quick Reference
| Task | Command/Pattern |
|------|-----------------|
| Validate config | `openclaw config validate` |
| Apply config patch | `openclaw config patch <file.json>` |
| Safe JSON parse | Use `safeParseJson()` wrapper |
| Check config location | `openclaw config path` |
| Pretty print | `JSON.stringify(data, null, 2)` |
## OpenClaw JSON5 Config
OpenClaw config files use **JSON5** (not strict JSON):
```json5
{
// Single-line comments are allowed
"gateway": {
"mode": "http", // Trailing commas are allowed
},
/* Multi-line comments
are also supported */
"agents": {
"main": {
"model": "anthropic/claude-opus-4-6",
},
},
}
```
### Key Differences from JSON
- **Comments**: Single-line (`//`) and multi-line (`/* */`)
- **Trailing commas**: Allowed in arrays and objects
- **Unquoted keys**: `{ key: "value" }` is valid
- **Single quotes**: `'string'` is valid
### Config File Locations
| Type | Path |
|------|------|
| User config | `~/.openclaw/config.json` |
| Project config | `./openclaw.config.json` |
| Agent config | `~/.openclaw/agents/<id>/config.json` |
| Session store | `~/.openclaw/sessions/` |
| State dir | `~/.openclaw/` (or `$OPENCLAW_STATE_DIR`) |
## Safe JSON Operations
### Reading Config Files
OpenClaw uses `JSON5.parse()` for configs and safe wrappers:
```typescript
// OpenClaw's safeParseJson pattern
function safeParseJson<T>(raw: string): T | null {
try {
return JSON.parse(raw) as T;
} catch {
return null;
}
}
// For OpenClaw configs, use JSON5
import JSON5 from "json5";
function loadConfigFile(path: string): unknown {
try {
const raw = fs.readFileSync(path, "utf8");
return JSON5.parse(raw); // Allows comments, trailing commas
} catch {
return undefined;
}
}
```
### Writing Config Files
OpenClaw writes with specific formatting and permissions:
```typescript
function saveJsonFile(pathname: string, data: unknown) {
const dir = path.dirname(pathname);
if (!fs.existsSync(dir)) {
fs.mkdirSync(dir, { recursive: true, mode: 0o700 });
}
// 2-space indentation, trailing newline
fs.writeFileSync(pathname, `${JSON.stringify(data, null, 2)}\n`, "utf8");
fs.chmodSync(pathname, 0o600); // User read/write only
}
```
### Type Guards
Always validate before assuming structure:
```typescript
// OpenClaw's isPlainObject (strictest)
function isPlainObject(value: unknown): value is Record<string, unknown> {
return (
typeof value === "object" &&
value !== null &&
!Array.isArray(value) &&
Object.prototype.toString.call(value) === "[object Object]"
);
}
// Less strict version
function isRecord(value: unknown): value is Record<string, unknown> {
return typeof value === "object" && value !== null && !Array.isArray(value);
}
```
## Config Merging & Patching
### Merge Patch (RFC 7386)
OpenClaw uses merge patching for config updates:
```typescript
// Apply a merge patch to base config
function applyMergePatch(base: unknown, patch: unknown): unknown {
if (!isPlainObject(patch)) {
return patch;
}
const result: Record<string, unknown> = isPlainObject(base) ? { ...base } : {};
for (const [key, value] of Object.entries(patch)) {
if (value === null) {
delete result[key]; // null = delete key
continue;
}
if (isPlainObject(value)) {
const baseValue = result[key];
result[key] = applyMergePatch(
isPlainObject(baseValue) ? baseValue : {},
value
);
continue;
}
result[key] = value;
}
return result;
}
```
### Usage Examples
```javascript
// Add/update nested field
const patch = {
agents: {
main: {
model: "anthropic/claude-opus-4-6"
}
}
};
// Delete a field (set to null)
const deletePatch = {
agents: {
main: {
temperature: null // Removes temperature
}
}
};
// Replace entire section
const replacePatch = {
channels: {
telegram: null, // Delete old
discord: { token: "new-token" } // Add new
}
};
```
## Environment Variable Substitution
OpenClaw configs support `${VAR}` and `${VAR:-default}` syntax:
```json5
{
"auth": {
"profiles": {
"openai": {
"apiKey": "${OPENAI_API_KEY}" // Substituted at load time
},
"anthropic": {
"apiKey": "${ANTHROPIC_API_KEY:-fallback-key}"
}
}
}
}
```
### Handling in Code
```typescript
// Check if string contains env var reference
function containsEnvVarReference(value: string): boolean {
return /\$\{[^}]+\}/.test(value);
}
// Collect all env var paths in an object
function collectEnvRefPaths(
value: unknown,
path: string,
output: Map<string, string>
): void {
if (typeof value === "string") {
if (containsEnvVarReference(value)) {
output.set(path, value);
}
return;
}
if (Array.isArray(value)) {
value.forEach((item, index) => {
collectEnvRefPaths(item, `${path}[${index}]`, output);
});
return;
}
if (isPlainObject(value)) {
for (const [key, child] of Object.entries(value)) {
const childPath = path ? `${path}.${key}` : key;
collectEnvRefPaths(child, childPath, output);
}
}
}
```
## Schema Validation
### Zod Schema Pattern
OpenClaw uses Zod for runtime validation:
```typescript
import { z } from "zod";
// Define schema
const AgentConfigSchema = z.object({
model: z.string().optional(),
temperature: z.number().min(0).max(2).optional(),
maxTokens: z.number().positive().optional(),
enabled: z.boolean().default(true),
});
// Validate
type AgentConfig = z.infer<typeof AgentConfigSchema>;
function validateConfig(data: unknown): AgentConfig {
return AgentConfigSchema.parse(data);
}
// Safe validation
function safeValidateConfig(data: unknown): AgentConfig | null {
const result = AgentConfigSchema.safeParse(data);
return result.success ? result.data : null;
}
```
### Common OpenClaw Schema Types
```typescript
// Model reference: "provider/model-name"
const ModelRefSchema = z.string().regex(/^[a-z0-9-]+\/[a-z0-9-]+$/i);
// Channel ID
const ChannelIdSchema = z.enum([
"telegram", "discord", "slack", "whatsapp",
"signal", "imessage", "irc", "web"
]);
// Duration string: "30s", "5m", "1h"
const DurationSchema = z.string().regex(/^\d+[smhd]$/);
```
## Config Includes
OpenClaw supports config file includes:
```json5
{
"include": [
"./base-config.json",
"~/.openclaw/shared-channels.json"
],
"agents": {
// Local overrides
}
}
```
### Processing Order
1. Load included files (recursive, depth-limited)
2. Merge in order (later files override earlier)
3. Apply env var substitution
4. Validate against schema
5. Apply runtime overrides
## jq Patterns for OpenClaw
### Common Operations
```bash
# Pretty print OpenClaw config
jq . ~/.openclaw/config.json
# Get gateway mode
jq '.gateway.mode' ~/.openclaw/config.json
# List all agent IDs
jq '.agents | keys[]' ~/.openclaw/config.json
# Find agent using specific model
jq '.agents | to_entries[] | select(.value.model == "anthropic/claude-opus-4-6") | .key' ~/.openclaw/config.json
# Get all channel types
jq '.channels | keys[]' ~/.openclaw/config.json
# Check if Telegram is configured
jq '.channels.telegram != null' ~/.openclaw/config.json
# Extract all model references
jq '.. | objects | select(has("model")) | .model' ~/.openclaw/config.json
# Merge patch using jq
jq '.agents.main.model = "anthropic/claude-opus-4-6"' ~/.openclaw/config.json > tmp.json \
&& mv tmp.json ~/.openclaw/config.json
```
### Advanced jq
```bash
# Deep search for all API keys (for audit)
jq '.. | objects | .apiKey? // .token? // .password? | select(.)' ~/.openclaw/config.json
# Collect all environment variable references
jq -r '.. | strings | select(contains("${"))' ~/.openclaw/config.json
# Validate JSON structure (returns true/false)
jq 'if has("gateway") and has("agents") then true else false end' ~/.openclaw/config.json
# Create minimal config from full config
jq '{ gateway: .gateway, agents: { main: .agents.main } }' ~/.openclaw/config.json
```
## Common Config Patterns
### Gateway Configuration
```json5
{
"gateway": {
"mode": "http", // "http", "disabled", "process"
"http": {
"bind": "127.0.0.1",
"port": 3000,
},
"auth": {
"token": "${OPENCLAW_GATEWAY_TOKEN}",
},
},
}
```
### Agent Configuration
```json5
{
"agents": {
"main": {
"model": "anthropic/claude-opus-4-6",
"temperature": 0.7,
"maxTokens": 4096,
// System prompt or reference to file
"systemPrompt": "You are a helpful assistant.",
"systemPromptFile": "~/.openclaw/agents/main/prompt.md",
},
"coder": {
"model": "anthropic/claude-sonnet-4-5",
"temperature": 0.2,
// Inherit from main with overrides
"inherits": "main",
},
},
}
```
### Channel Configuration
```json5
{
"channels": {
"telegram": {
"botToken": "${TELEGRAM_BOT_TOKEN}",
"allowFrom": ["@username"],
},
"discord": {
"botToken": "${DISCORD_BOT_TOKEN}",
"applicationId": "123456789",
},
"slack": {
"botToken": "${SLACK_BOT_TOKEN}",
"appToken": "${SLACK_APP_TOKEN}",
},
},
}
```
### Tools Configuration
```json5
{
"tools": {
"alsoAllow": ["web_search", "browser"],
"deny": ["exec"],
"config": {
"web_search": {
"provider": "brave",
"apiKey": "${BRAVE_API_KEY}",
},
},
},
}
```
## Validation & Error Handling
### Common Validation Errors
```typescript
// Schema validation errors provide detailed paths
const result = schema.safeParse(data);
if (!result.success) {
for (const error of result.error.errors) {
console.log(`${error.path.join('.')}: ${error.message}`);
// e.g., "agents.main.temperature: Number must be less than or equal to 2"
}
}
```
### Config File Recovery
```bash
# If config is corrupted, OpenClaw keeps backups
ls -la ~/.openclaw/config.json.*
# Restore from backup
cp ~/.openclaw/config.json.2024-01-15T10-30-00.bak ~/.openclaw/config.json
# Or use OpenClaw's built-in rotation
openclaw config restore
```
## Best Practices
### 1. Always Validate After Edit
```bash
# Validate config syntax and schema
openclaw config validate
# Test config loading
openclaw config get
```
### 2. Backup Before Changes
```bash
# Create timestamped backup
cp ~/.openclaw/config.json ~/.openclaw/config.json.$(date +%Y%m%d_%H%M%S).bak
```
### 3. Use Type Guards
```typescript
// Never assume structure - always validate
if (!isPlainObject(config.agents)) {
throw new Error("Invalid agents configuration");
}
```
### 4. Handle Env Vars Carefully
```typescript
// Preserve env var references when editing
const originalValue = "${API_KEY}";
const newValue = process.env.API_KEY || originalValue;
```
### 5. Use Structured Clone for Deep Copies
```typescript
// Preferred for deep cloning
deepCopy = structuredClone(original);
// Fallback for older environments
deepCopy = JSON.parse(JSON.stringify(original));
```
### 6. Atomic Writes
```typescript
// Write to temp file, then rename
fs.writeFileSync(tempPath, data);
fs.renameSync(tempPath, finalPath);
```
## Security Considerations
- **File permissions**: Config files should be `0o600` (user read/write only)
- **No secrets in JSON**: Use `${ENV_VAR}` substitution
- **Validate inputs**: Always schema-validate external JSON
- **Sanitize paths**: Use `path.resolve()` and check traversal
- **Audit logging**: OpenClaw logs config changes to `config-audit.jsonl`
## Troubleshooting
### Common Issues
| Issue | Cause | Solution |
|-------|-------|----------|
| `Unexpected token /` | Comments in JSON | Use JSON5 parser |
| `Trailing comma` | Trailing comma in array | Use JSON5 parser |
| `Env var not substituted` | Missing env var | Check `${VAR:-default}` |
| `Validation failed` | Schema mismatch | Run `openclaw config validate` |
| `Permission denied` | Wrong file permissions | `chmod 600 config.json` |
### Debug Commands
```bash
# Check raw config (before env substitution)
cat ~/.openclaw/config.json
# Check effective config (after all processing)
openclaw config get --json
# List all env var references
openclaw config env-refs
# Trace config loading
OPENCLAW_DEBUG=config openclaw config get
```
## Editing Providers & Model Configuration
When adding or updating AI providers in `openclaw.config.json`, you must **discover actual model names from the provider's API** and handle **reasoning model variants** correctly.
### Model Discovery Workflow
```bash
# 1. Fetch available models from provider API
# xAI example - requires XAI_API_KEY
XAI_API_KEY="your-key"
curl -s -H "Authorization: Bearer $XAI_API_KEY" \
https://api.x.ai/v1/models | jq '.data[] | {id: .id, name: .object}'
# OpenAI example
curl -s -H "Authorization: Bearer $OPENAI_API_KEY" \
https://api.openai.com/v1/models | jq '.data[] | select(.id | contains("gpt")) | .id'
# Together AI example
curl -s -H "Authorization: Bearer $TOGETHER_API_KEY" \
https://api.together.xyz/v1/models | jq '.[] | {id: .id, name: .display_name}'
```
### Provider Configuration Schema
OpenClaw uses `ModelProviderConfig` schema:
```typescript
type ModelProviderConfig = {
baseUrl: string; // API endpoint base URL
apiKey?: string; // Optional: API key (prefer env vars)
auth?: "api-key" | "aws-sdk" | "oauth" | "token";
api?: "openai-completions" | "openai-responses" |
"anthropic-messages" | "google-generative-ai" |
"github-copilot" | "bedrock-converse-stream" | "ollama";
headers?: Record<string, string>; // Custom headers
models: ModelDefinitionConfig[]; // Model definitions
};
type ModelDefinitionConfig = {
id: string; // Model ID (e.g., "grok-4")
name: string; // Display name (e.g., "Grok 4")
api?: ModelApi; // Override API type per model
reasoning: boolean; // Whether model supports reasoning/thinking
input: Array<"text" | "image">; // Supported input types
cost: {
input: number; // Cost per 1M input tokens
output: number; // Cost per 1M output tokens
cacheRead: number; // Cost per 1M cached tokens read
cacheWrite: number; // Cost per 1M cached tokens written
};
contextWindow: number; // Max context window size
maxTokens: number; // Max output tokens
headers?: Record<string, string>;
compat?: ModelCompatConfig;
};
```
### Reasoning Model Families
**CRITICAL**: Some models have **reasoning variants** handled specially by OpenClaw. For example, xAI's `grok-4-1-fast` has three variants:
| Model ID | Type | Notes |
|----------|------|-------|
| `grok-4-1-fast` | Base | The "family" identifier |
| `grok-4-1-fast-reasoning` | Reasoning | Full reasoning capabilities |
| `grok-4-1-fast-non-reasoning` | Non-reasoning | Faster, no reasoning |
**In OpenClaw, you typically configure ONLY the base model** (`grok-4-1-fast`). The system automatically switches between reasoning/non-reasoning variants based on the `thinking` directive or configuration.
```json5
{
"models": {
"providers": {
"xai": {
"baseUrl": "https://api.x.ai/v1",
"api": "openai-completions",
"apiKey": "${XAI_API_KEY}",
"models": [
{
"id": "grok-4-1-fast",
"name": "Grok 4.1 Fast",
"reasoning": false, // Base model is non-reasoning
"input": ["text"],
"cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 },
"contextWindow": 128000,
"maxTokens": 8192
}
// NOTE: Do NOT add -reasoning or -non-reasoning variants separately
// OpenClaw handles these automatically via model family resolution
]
}
}
}
}
```
### Model Family Resolution
OpenClaw internally defines **reasoning model families** in `src/agents/model-families.ts`:
```typescript
const REASONING_MODEL_FAMILIES = [
{
provider: "xai",
members: [
"grok-4-1-fast",
"grok-4-1-fast-reasoning",
"grok-4-1-fast-non-reasoning"
],
reasoningModel: "grok-4-1-fast-reasoning",
nonReasoningModel: "grok-4-1-fast-non-reasoning",
},
];
```
When a user requests a model with `thinking: "on"` or `thinking: "off"`, OpenClaw:
1. Looks up if the requested model is in a reasoning family
2. If `thinking: "on"` → uses `reasoningModel` variant
3. If `thinking: "off"` → uses `nonReasoningModel` variant
4. If no thinking directive → uses the base model as-is
### Complete Provider Configuration Example
```json5
{
"models": {
"mode": "merge", // "merge" or "replace"
"providers": {
// xAI - Grok models with reasoning variants
"xai": {
"baseUrl": "https://api.x.ai/v1",
"api": "openai-completions",
"apiKey": "${XAI_API_KEY}",
"models": [
{
"id": "grok-4-1-fast",
"name": "Grok 4.1 Fast",
"reasoning": false,
"input": ["text"],
"cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 },
"contextWindow": 128000,
"maxTokens": 8192
},
{
"id": "grok-4",
"name": "Grok 4",
"reasoning": false,
"input": ["text", "image"], // Vision-capable
"cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 },
"contextWindow": 128000,
"maxTokens": 8192,
"compat": {
"supportsReasoningEffort": false,
"maxTokensField": "max_completion_tokens"
}
}
]
},
// OpenAI - with response API and reasoning
"openai": {
"baseUrl": "https://api.openai.com/v1",
"api": "openai-responses",
"apiKey": "${OPENAI_API_KEY}",
"models": [
{
"id": "gpt-5.2",
"name": "GPT-5.2",
"reasoning": false,
"input": ["text", "image"],
"cost": { "input": 2.5, "output": 10, "cacheRead": 0.5, "cacheWrite": 1.25 },
"contextWindow": 200000,
"maxTokens": 16384,
"compat": {
"supportsReasoningEffort": true,
"thinkingFormat": "openai"
}
},
{
"id": "o3-mini",
"name": "o3 Mini",
"reasoning": true, // Built-in reasoning model
"input": ["text", "image"],
"cost": { "input": 1.1, "output": 4.4, "cacheRead": 0.275, "cacheWrite": 0.55 },
"contextWindow": 200000,
"maxTokens": 100000,
"compat": {
"supportsReasoningEffort": true,
"requiresAssistantAfterToolResult": true
}
}
]
},
// Anthropic - Messages API
"anthropic": {
"baseUrl": "https://api.anthropic.com",
"api": "anthropic-messages",
"apiKey": "${ANTHROPIC_API_KEY}",
"models": [
{
"id": "claude-opus-4-6",
"name": "Claude Opus 4.6",
"reasoning": false,
"input": ["text", "image"],
"cost": { "input": 15, "output": 75, "cacheRead": 1.88, "cacheWrite": 7.5 },
"contextWindow": 200000,
"maxTokens": 8192,
"compat": {
"supportsStore": false,
"supportsDeveloperRole": false
}
}
]
},
// Google Gemini
"google": {
"baseUrl": "https://generativelanguage.googleapis.com/v1beta",
"api": "google-generative-ai",
"apiKey": "${GEMINI_API_KEY}",
"models": [
{
"id": "gemini-3-pro-preview",
"name": "Gemini 3 Pro Preview",
"reasoning": false,
"input": ["text", "image"],
"cost": { "input": 1.25, "output": 10, "cacheRead": 0.31, "cacheWrite": 1.25 },
"contextWindow": 1000000,
"maxTokens": 8192,
"compat": {
"thinkingFormat": "qwen"
}
}
]
},
// Ollama - local models (auto-discovered)
"ollama": {
"baseUrl": "http://localhost:11434/v1",
"api": "ollama",
"models": [] // Auto-populated from /api/tags
}
}
}
}
```
### Model Compatibility Flags
```typescript
type ModelCompatConfig = {
// OpenAI-specific features
supportsStore?: boolean; // Use 'store' parameter
supportsDeveloperRole?: boolean; // Use 'developer' vs 'system' role
supportsReasoningEffort?: boolean; // Support reasoning_effort param
supportsUsageInStreaming?: boolean; // Usage in streaming responses
supportsStrictMode?: boolean; // Strict tool mode
// Token handling
maxTokensField?: "max_completion_tokens" | "max_tokens";
// Thinking/reasoning format
thinkingFormat?: "openai" | "zai" | "qwen";
// Tool calling quirks
requiresToolResultName?: boolean; // Must include tool result name
requiresAssistantAfterToolResult?: boolean; // Assistant message after tool
requiresThinkingAsText?: boolean; // Thinking blocks as text
requiresMistralToolIds?: boolean; // Mistral-style tool IDs
};
```
### Validating Provider Configuration
```bash
# Validate the full config including models
openclaw config validate
# Check if models.json is correctly generated
openclaw models list
# Test a specific model provider
openclaw models test --provider xai --model grok-4-1-fast
# Debug model resolution
OPENCLAW_DEBUG=models openclaw models list
```
### Common Pitfalls
| Pitfall | Why It Happens | Solution |
|---------|---------------|----------|
| Adding `-reasoning` variants | Don't manually add reasoning variants | Only add base model (e.g., `grok-4-1-fast`) |
| Wrong `reasoning` boolean | Confusion about model capabilities | Set based on base model, not variants |
| Missing `api` field | Defaults may not match provider | Explicitly set `api` to correct value |
| Hardcoded API keys | Security risk | Always use `${ENV_VAR}` substitution |
| Wrong baseUrl | Provider-specific endpoints | Check provider documentation |
| Incorrect cost values | Tracking/budgeting issues | Verify per-provider pricing |
### Provider-Specific Notes
#### xAI (Grok)
- Uses `openai-completions` API
- Model families auto-resolve reasoning variants
- Vision support varies by model
#### OpenAI
- Use `openai-responses` for o-series and GPT-5
- Use `openai-completions` for legacy GPT-4
- Reasoning effort adjustable via `supportsReasoningEffort`
#### Anthropic
- Uses `anthropic-messages` API
- No separate reasoning models (all models can think)
- Distinct cost structure for prompt caching
#### Google (Gemini)
- Uses `google-generative-ai` API
- Very large context windows (1M tokens)
- Different content format than OpenAI/Anthropic
#### Ollama
- Set `api: "ollama"` for native discovery
- Models auto-discovered from `/api/tags`
- Local inference - no API key needed
### Model Aliases
Define aliases for common models in agent defaults:
```json5
{
"agents": {
"defaults": {
"models": {
"fast": { "alias": "Grok Fast", "id": "xai/grok-4-1-fast" },
"smart": { "alias": "Claude Opus", "id": "anthropic/claude-opus-4-6" },
"vision": { "alias": "GPT Vision", "id": "openai/gpt-5.2" }
}
}
}
}
```
Use aliases in agent config:
```json5
{
"agents": {
"main": {
"model": "fast" // Resolves to xai/grok-4-1-fast
}
}
}
```Related Skills
package-json-modification-protection
Protects lines with the specific 'Do not touch this line Cursor' comment within package.json.
openclaw-medicine
Diagnose and fix OpenClaw gateway issues — broken configs, missing tokens, dead channels, auth failures, merge bugs, and multi-instance management. Use when openclaw is unresponsive, channels aren't starting, config is corrupted, or when managing remote openclaw instances (e.g. via SSH). Also covers migrating between config strategies (Nix-managed vs local).
openclaw-config-validator
Validate, analyze, and explain OpenClaw configuration files. Use when users need to check config.json for errors, understand what a config field does, compare configs, or safely modify OpenClaw configuration. Triggers on config validation requests, schema questions, or config editing tasks.
openclaw-agent-run
Direct agent CLI invocations in OpenClaw. Use when running the `openclaw agent` command to trigger agent turns, targeting sessions or agents programmatically, delivering replies to channels, using --json output for automation, overriding thinking/verbose levels, or understanding session selection logic. Triggers for: "openclaw agent", "direct agent run", "send a message to agent", "--deliver", "--session-id", "agent turn", "CLI agent", "thinking level", "verbose mode", "--json output".
json-yaml
Process JSON, YAML, CSV, and XML data (jq, yq, awk).
json-visualization-dev
Develop and maintain the JSON Visualization web application - a Next.js tool for visualizing JSON/YAML/CSV/XML data as interactive graphs. Use when working with this codebase, adding features, fixing bugs, or understanding the graph visualization, data conversion, or type generation systems.
video-processing-editing
FFmpeg automation for cutting, trimming, concatenating videos. Audio mixing, timeline editing, transitions, effects. Export optimization for YouTube, social media. Subtitle handling, color grading, batch processing. Use for videogen projects, content creation, automated video production. Activate on "video editing", "FFmpeg", "trim video", "concatenate", "transitions", "export optimization". NOT for real-time video editing UI, 3D compositing, or motion graphics.
editing-checklist
Systematic editing and proofreading checklist for polishing written content. Use this skill when reviewing, editing, or proofreading drafts before publishing.
copy-editing
When the user wants to edit, review, or improve existing marketing copy. Also use when the user mentions 'edit this copy,' 'review my copy,' 'copy feedback,' 'proofread,' 'polish this,' 'make this ...
openclaw-tescmd
Installation and setup guide for Tesla vehicle control and telemetry via the tescmd node.
json-canvas
Create and edit JSON Canvas files (.canvas) with nodes, edges, groups, and connections. Use when working with .canvas files, creating visual canvases, mind maps, flowcharts, or when the user mentions Canvas files in Obsidian.
file-to-json-parsing
Use AgentPMT external API to run the File To JSON Parsing tool with wallet signatures, credits purchase, or credits earned from jobs.