> Diagnose Claude Code hook installation, delivery, and ingestion issues. Checks hook configuration, connectivity, event flow, and identifies common problems. Use when events are not appearing in the dashboard.
npx skills add https://github.com/hoangsonww/Claude-Code-Agent-Monitor --skill hook-diagnostics
Diagnose hook integration issues between Claude Code and the Agent Monitor.
The user provides: $ARGUMENTS
This may be:
Run diagnostic checks in this order:
Verify hooks are installed in Claude Code settings:
# Check if hooks exist in Claude Code settings
cat ~/.claude/settings.json | jq '.hooks // empty'
Verify:
PreToolUse, PostToolUse, Stop, SubagentStop, Notification, SessionStart, SessionEndTest that the dashboard API is reachable:
curl -sf http://localhost:4820/api/health
Verify:
Check the hook handler script:
# Verify handler exists and is executable
ls -la <handler-path>
# Syntax check
node --check <handler-path>
Send a test event and verify it arrives:
echo '{"hook_type":"test","session_id":"diag-test","data":{}}' | \
curl -sf -X POST http://localhost:4820/api/hooks/event \
-H 'Content-Type: application/json' -d @-
Verify the database is writable and events are persisted:
curl -sf http://localhost:4820/api/stats
curl -sf http://localhost:4820/api/events?limit=5
Check if events are flowing:
Present as a diagnostic report with:
Hook Diagnostics Report
━━━━━━━━━━━━━━━━━━━━━━
✅ Hook Installation .............. PASS
✅ Dashboard Connectivity ......... PASS
✅ Handler Script ................. PASS
⚠️ Event Delivery ................ WARN (slow)
✅ Database ....................... PASS
❌ Recent Event Flow .............. FAIL (no events in 2h)
━━━━━━━━━━━━━━━━━━━━━━
Overall: 5/6 checks passed
For each failed or warning check, include:
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas
Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like \"the xlsx in my downloads\") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.
Picks random winners from lists, spreadsheets, or Google Sheets for giveaways, raffles, and contests. Ensures fair, unbiased selection with transparency.
Query openFDA API for drugs, devices, adverse events, recalls, regulatory submissions (510k, PMA), substance identification (UNII), for FDA regulatory data analysis and safety research.
MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing. Use when writing MATLAB/Octave scripts for linear algebra, signal processing, image processing, differential equations, optimization, statistics, or creating scientific visualizations. Also use when the user needs help with MATLAB syntax, functions, or wants to convert between MATLAB and Python code. Scripts can be executed with MATLAB or the open-source GNU Octave interpreter.
UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.
Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visualisation that requires fine-grained control over visual elements, transitions, or interactions. Use this for bespoke visualisations beyond standard charting libraries, whether in React, Vue, Svelte, vanilla JavaScript, or any other environment.
Access AlphaFold 200M+ AI-predicted protein structures. Retrieve structures by UniProt ID, download PDB/mmCIF files, analyze confidence metrics (pLDDT, PAE), for drug discovery and structural biology.
Take hoangsonww/hook-diagnostics from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.