config-auditing
Neovim configuration audit knowledge base. Use when: reviewing config files for issues, checking deprecated APIs, optimizing settings, or performing health checks. Provides checklists, best practices, and version-specific deprecated API detection patterns.
What this skill does
# Neovim Configuration Auditing Skill
Systematic configuration analysis for identifying issues, optimizations, and deprecated API usage in Neovim setups.
## Supporting Documents
| Document | Purpose | When to Use |
|----------|---------|-------------|
| [audit-checklist.md](audit-checklist.md) | Structured audit categories with detection patterns | Systematic config review |
| [best-practices.md](best-practices.md) | lazy.nvim patterns, vim.opt usage, keymap conventions | Optimization suggestions |
| [deprecated-apis.md](deprecated-apis.md) | Version-specific deprecated APIs with grep patterns | Compatibility checks |
## Quick Validation Commands
Run these headless commands for rapid assessment:
```bash
# Get Neovim version
nvim --version | head -1
# Get config path
nvim --headless -c "lua print(vim.fn.stdpath('config'))" -c "qa" 2>&1
# Count Lua files in config
find ~/.config/nvim -name "*.lua" 2>/dev/null | wc -l
# Count plugins (lazy.nvim)
ls ~/.local/share/nvim/lazy 2>/dev/null | wc -l
# Check for deprecated vim.api.nvim_buf_set_option usage
grep -rn "nvim_buf_set_option\|nvim_win_set_option" ~/.config/nvim --include="*.lua" 2>/dev/null | head -10
# Check startup time
nvim --startuptime /tmp/nvim-startup.log +q && tail -5 /tmp/nvim-startup.log
# Validate Lua syntax in config
nvim --headless -c "lua dofile(vim.fn.stdpath('config')..'/init.lua')" -c "qa" 2>&1
# Check for error on startup
nvim --headless -c "qa" 2>&1 | head -20
```
## Scoring Criteria
Assign grades based on issue severity and count:
| Grade | Criteria | Description |
|-------|----------|-------------|
| **A** | 0 Critical, 0-2 Warnings | Excellent - Production ready |
| **B** | 0 Critical, 3-5 Warnings | Good - Minor improvements possible |
| **C** | 0 Critical, 6+ Warnings OR 1 Critical | Acceptable - Needs attention |
| **D** | 2-3 Critical issues | Poor - Significant problems |
| **F** | 4+ Critical issues | Failing - Requires immediate fixes |
### Issue Severity Definitions
**Critical**: Security risks, breaking deprecated APIs (removed in current version), runtime errors
**Warning**: Performance issues, deprecated APIs (still working), code style violations
**Suggestion**: Optional improvements, modern alternatives, organization tips
## Audit Workflow
1. **Gather Environment Info**
- Neovim version (determines which deprecated APIs apply)
- Plugin manager type (lazy.nvim, packer.nvim, etc.)
- Config structure (single file vs modular)
2. **Run Category Audits**
- Follow [audit-checklist.md](audit-checklist.md) categories in order
- Use grep patterns to detect issues programmatically
- Note severity for each finding
3. **Check Version Compatibility**
- Reference [deprecated-apis.md](deprecated-apis.md) for user's Neovim version
- Flag APIs deprecated OR removed in their version
4. **Apply Best Practices**
- Compare against [best-practices.md](best-practices.md)
- Suggest optimizations where applicable
5. **Calculate Grade**
- Count Critical/Warning/Suggestion issues
- Apply scoring criteria above
- Provide overall health assessment
## Output Template
```xml
<audit_report>
## Summary
- **Grade**: [A-F]
- **Neovim Version**: [detected version]
- **Config Location**: [path]
- **Plugin Count**: [count]
## Critical Issues
[List each critical issue with file:line and fix]
## Warnings
[List each warning with file:line and recommendation]
## Suggestions
[List optional improvements]
## Statistics
| Metric | Value |
|--------|-------|
| Total Lua files | X |
| Total lines | Y |
| Plugins | Z |
| Startup time | Nms |
| Deprecated APIs | N |
</audit_report>
```
Related in Backend & APIs
jfrog
IncludedInteract with the JFrog Platform via the JFrog CLI and REST/GraphQL APIs. Use this skill when the user wants to manage Artifactory repositories, upload or download artifacts, manage builds, configure permissions, manage users and groups, work with access tokens, configure JFrog CLI servers, search artifacts, manage properties, set up replication, manage JFrog Projects, run security audits or scans, look up CVE details, query exposures scan results from JFrog Advanced Security, manage release bundles and lifecycle operations, aggregate or export platform data, or perform any JFrog Platform administration task. Also use when the user mentions jf, jfrog, artifactory, xray, distribution, evidence, apptrust, onemodel, graphql, workers, mission control, curation, advanced security, exposures, or any JFrog product name.
cupynumeric-migration-readiness
IncludedPre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers.
alibabacloud-data-agent-skill
IncludedInvoke Alibaba Cloud Apsara Data Agent for Analytics via CLI to perform natural language-driven data analysis on enterprise databases. Data Agent for Analytics is an intelligent data analysis agent developed by Alibaba Cloud Database team for enterprise users. It automatically completes requirement analysis, data understanding, analysis insights, and report generation based on natural language descriptions. This tool supports: discovering data resources (instances/databases/tables) managed in DMS, initiating query or deep analysis sessions, real-time progress tracking, and retrieving analysis conclusions and generated reports. Use this Skill when users need to query databases, analyze data trends, generate data reports, ask questions in natural language, or mention "Data Agent", "data analysis", "database query", "SQL analysis", "data insights".
token-optimizer
IncludedReduce OpenClaw token usage and API costs through smart model routing, heartbeat optimization, budget tracking, and native 2026.2.15 features (session pruning, bootstrap size limits, cache TTL alignment). Use when token costs are high, API rate limits are being hit, or hosting multiple agents at scale. The 4 executable scripts (context_optimizer, model_router, heartbeat_optimizer, token_tracker) are local-only — no network requests, no subprocess calls, no system modifications. Reference files (PROVIDERS.md, config-patches.json) document optional multi-provider strategies that require external API keys and network access if you choose to use them. See SECURITY.md for full breakdown.
resend-cli
IncludedUse this skill when the task is specifically about operating Resend from an AI agent, terminal session, or CI job via the official resend CLI: installing/authenticating the CLI, sending/listing/updating/cancelling emails, batch sends, domains and DNS, webhooks and local listeners, inbound receiving, contacts, topics, segments, broadcasts, templates, API keys, profiles, or debugging Resend CLI/API failures. Trigger on mentions of Resend CLI, `resend`, `resend doctor`, `resend emails send`, `resend domains`, `resend webhooks listen`, `resend emails receiving`, or agent-friendly terminal automation.
alibabacloud-odps-maxframe-coding
IncludedUse this skill for MaxFrame SDK development and documentation navigation on Alibaba Cloud MaxCompute (ODPS). Helps answer MaxFrame API, concept, official example, and supported pandas API questions; create data processing programs; read/write MaxCompute tables; debug jobs (remote or local); and build custom DPE runtime images. Trigger when users mention MaxFrame, MaxCompute with MaxFrame, ODPS table processing, DPE runtime, MaxFrame docs/examples, DataFrame/Tensor operations, or GPU runtime setup. Works for both English and Chinese queries about Alibaba Cloud data processing with MaxFrame.