majiayu000 Skill Recordings Support Agent CLI
CLI tool for the Skill Recordings support platform. Named skill after Skill Recordings (the company), not Claude skills.
Quick start
skill inngest events --after 1h # Recent events
skill inngest event <id> # Event details + runs
skill front message <id> # Full message with body
skill front conversation <id> -m # Conversation with history
skill skills list # Available skills
Inngest Commands
List events
skill inngest events # List recent events (default 20)
skill inngest events --after 2h # Events from last 2 hours
skill inngest events --after 1d # Events from last day
skill inngest events --name "support/inbound.received" # Filter by name
skill inngest events --limit 50 # Limit results
skill inngest events --json # JSON output
skill inngest events --dev # Use dev server (localhost:8288)
Get event details
skill inngest event <id> # Event details + triggered runs
skill inngest event <id> --json # JSON output
Get run details
skill inngest run <id> # Run status, output, timing
skill inngest run <id> --json # JSON output
Investigation Commands (Agent-Optimized)
These commands output JSON by default, optimized for agent consumption with aggregate stats and anomaly detection.
skill inngest inspect <event-id> # Deep dive: event + runs + results
skill inngest failures --after 2h # Aggregate failure analysis
skill inngest stats --after 1d # Stats with anomaly detection
skill inngest trace <run-id> # Full workflow trace
skill inngest search "email@example" # Search event data for patterns
skill inngest search "refund" --field result # Search specific field
Inspect (Deep Dive)
skill inngest inspect 01KFxxx
# Returns: event details, all triggered runs with results/errors, durations
Failures (Aggregate Analysis)
skill inngest failures --after 2h --limit 20
# Returns: total failures, grouped by error message, failure details
Stats (Pattern Detection)
skill inngest stats --after 1d
# Returns: event counts by type, workflow outcomes, skip reasons, anomalies
# Anomalies detected: high failure rate, more skipped than completed, etc.
Trace (Workflow Debug)
skill inngest trace 01KFxxx
# Returns: run details, input, result, error, duration
Search (Pattern Matching)
skill inngest search "purchase_id" --after 1h
skill inngest search "error" --field result --limit 100
# Returns: matching events with data
Cancel run
skill inngest cancel <id> # Cancel running function
Send signal
skill inngest signal <name> # Resume waiting function
skill inngest signal approval:draft_123 # Example: approval signal
skill inngest signal <name> --data '{"approved":true}' # With payload
Front Commands
Get message
skill front message <id> # Full message details
skill front message msg_xxx --json # JSON output
# Output includes:
# - ID, type, subject, created timestamp
# - Author email
# - Recipients (from, to, cc, bcc)
# - Body (HTML length, text length, preview)
# - Attachments
Get conversation
skill front conversation <id> # Conversation details
skill front conversation cnv_xxx -m # Include message history
skill front conversation <id> --json # JSON output
# Output includes:
# - ID, subject, status, created timestamp
# - Recipient, assignee
# - Tags
# - Message history (with -m flag)
Other Commands
Initialize integration
skill init # Interactive mode
skill init my-app # Quick mode with name
skill init --json # JSON output
Setup wizard
skill wizard # Interactive property setup
skill wizard --json # JSON output
Health check
skill health # Check default integration
skill health total-typescript # Check by slug
skill health https://example.com -s secret # Check by URL
skill health -l # List all registered apps
skill health --json # JSON output
Run evals
skill eval routing dataset.json # Run routing eval
skill eval routing dataset.json --json # JSON output
skill eval routing dataset.json --min-precision 0.95
skill eval routing dataset.json --min-recall 0.98
skill eval routing dataset.json --max-fp-rate 0.02
skill eval routing dataset.json --max-fn-rate 0.01
Response Analysis Commands
List recent responses
skill responses list # List recent responses (default 20)
skill responses list --app total-typescript # Filter by app
skill responses list --limit 50 # More results
skill responses list --rating bad # Only bad-rated responses
skill responses list --rating unrated # Only unrated responses
skill responses list --since 2024-01-01 # Since date
skill responses list --json # JSON output
Get response details
skill responses get <actionId> # Response details
skill responses get <actionId> --context # Include conversation history
skill responses get <actionId> --json # JSON output
Export for analysis
skill responses export # Export all with context
skill responses export --app total-typescript # Filter by app
skill responses export --rating bad # Only bad responses
skill responses export -o bad-responses.json # Output to file
Common Workflows
Debug empty message body
# 1. Find recent inbound events
skill inngest events --after 1h --name "support/inbound.received"
# 2. Get event details
skill inngest event 01KFxxx
# 3. Check if message has body via Front API
skill front message msg_xxx
# 4. Compare webhook data vs API data
Investigate failed workflow
# 1. Find function.finished events
skill inngest events --after 2h | grep function.finished
# 2. Get run details
skill inngest run 01KFxxx
# 3. Check event that triggered it
skill inngest event <event_id>
Check conversation context
# Get full conversation with message history
skill front conversation cnv_xxx -m
# Or just the conversation metadata
skill front conversation cnv_xxx
Environment Variables
Required in .env.local:
FRONT_API_TOKEN= # For Front API commands
INNGEST_SIGNING_KEY= # For Inngest API commands
JSON Output
All commands support --json for machine-readable output:
skill inngest events --json | jq '.[0].data'
skill front message msg_xxx --json | jq '.body'