add-strict-checks
Enable stricter TypeScript and linting checks to catch bugs early, especially useful when iterating with AI assistance.
Best use case
add-strict-checks is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Enable stricter TypeScript and linting checks to catch bugs early, especially useful when iterating with AI assistance.
Teams using add-strict-checks 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/add-strict-checks/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How add-strict-checks Compares
| Feature / Agent | add-strict-checks | 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?
Enable stricter TypeScript and linting checks to catch bugs early, especially useful when iterating with AI assistance.
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
# Add Strict Checks
**Goal:** Enable stricter TypeScript compiler options and linting to catch bugs that standard TypeScript misses.
---
## Task 1: Add Stricter Compiler Options
Add these additional strict options to `tsconfig.json` under `compilerOptions`:
```json
{
"compilerOptions": {
// ... existing options ...
"noImplicitReturns": true,
"noFallthroughCasesInSwitch": true,
"noImplicitOverride": true,
"forceConsistentCasingInFileNames": true,
"exactOptionalPropertyTypes": true,
"useUnknownInCatchVariables": true
}
}
```
---
## Task 2: Add Check Script
Add a check script to `package.json`:
```json
{
"scripts": {
"typecheck:app": "tsc --noEmit -p tsconfig.check.json",
"typecheck:tests": "tsc --noEmit -p tsconfig.test.json",
"check": "biome check . && npm run typecheck:app && npm run typecheck:tests"
}
}
```
---
## Task 3: Fix All Issues
Run `npm run check:write && npm run check` in a loop, fixing issues until it passes.
IMPORTANT: NEVER disable any checks:
- NEVER disable any biome checks,
- NEVER edit tsconfig.json to remove or disable a check
- NEVER edit tsconfig.check.json to remove or disable a check
- NEVER edit package.json to remove a check from a script
NEVER disable checks, even temporarily for any reason (including for easier work with third-party libraries)
Instead, fix the code to not violate the check.
---
## Task 4: Update CLAUDE.md
Update the "Before Committing" section to include `npm run check`:
```bash
npm test && npm run check
```
If tests aren't set up yet, just use:
```bash
npm run check
```
---
## Task 5: Commit
Ask the user if they want to commit the changes.
---
## Task 6: Offer Further Hardening
Ask the user: "Would you like to add backend testing as well? This sets up integration tests with an isolated test database."
If yes, follow the `add-backend-testing` skill.Related Skills
Data Quality Checks
Data Quality Checks are automated tests that validate data against predefined rules and expectations. They act as the "unit tests" for data, catching issues before they propagate downstream to analyti
bgo
Automates the complete Blender build-go workflow, from building and packaging your extension/add-on to removing old versions, installing, enabling, and launching Blender for quick testing and iteration.
humanizer-ko
Detects and corrects Korean AI writing patterns to transform text into natural human writing. Based on scientific linguistic research (KatFishNet paper with 94.88% AUC accuracy). Analyzes 19 patterns including comma overuse, spacing rigidity, POS diversity, AI vocabulary overuse, and structural monotony. Use when humanizing Korean text from ChatGPT/Claude/Gemini or removing AI traces from Korean LLM output.
huggingface-accelerate
Simplest distributed training API. 4 lines to add distributed support to any PyTorch script. Unified API for DeepSpeed/FSDP/Megatron/DDP. Automatic device placement, mixed precision (FP16/BF16/FP8). Interactive config, single launch command. HuggingFace ecosystem standard.
hr-pro
Professional, ethical HR partner for hiring, onboarding/offboarding, PTO and leave, performance, compliant policies, and employee relations. Ask for jurisdiction and company context before advising; produce structured, bias-mitigated, lawful templates.
hive-mind-advanced
Advanced Hive Mind collective intelligence system for queen-led multi-agent coordination with consensus mechanisms and persistent memory
hire
Interactive hiring wizard to set up a new AI team member. Guides the user through role design via conversation, generates agent identity files, and optionally sets up performance reviews. Use when the user wants to hire, add, or set up a new AI agent, team member, or assistant. Triggers on phrases like "hire", "add an agent", "I need help with X" (implying a new role), or "/hire".
hic-tad-calling
This skill should be used when users need to identify topologically associating domains (TADs) from Hi-C data in .mcools (or .cool) files or when users want to visualize the TAD in target genome loci. It provides workflows for TAD calling and visualization.
helix-memory
Long-term memory system for Claude Code using HelixDB graph-vector database. Store and retrieve facts, preferences, context, and relationships across sessions using semantic search, reasoning chains, and time-window filtering.
heath-ledger
AI bookkeeping agent for Mercury bank accounts. Pulls transactions, categorizes them (rule-based + AI), and generates Excel workbooks with P&L, Balance Sheet, Cash Flow, and transaction detail. Use when the user wants to do bookkeeping, generate financial statements, categorize bank transactions, connect Mercury, or produce monthly/quarterly/annual books. Triggers on: bookkeeping, P&L, profit and loss, balance sheet, cash flow, financial statements, Mercury bank, categorize transactions, generate books, monthly close.
health-chat
Unified health conversation entry point - automatically loads all health data for each conversation, supports natural language queries, and intelligently routes to appropriate health data processing
hackernews
Comprehensive toolkit for fetching, searching, analyzing, and monitoring Hacker News content. Use when Claude needs to interact with Hacker News for (1) Fetching top/new/best/ask/show/job stories, (2) Searching for specific topics or keywords, (3) Monitoring specific users or tracking their activity, (4) Analyzing trending topics and patterns, (5) Getting story details, comments, or user profiles, or (6) Any other task involving Hacker News data retrieval or analysis.