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Claude Code skills collection

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# claude-skills

A collection of Claude Code skills for extending agent capabilities.

## Skills

### [command-resource-profiler](./command-resource-profiler/)

Run a command under process-tree monitoring and report application-scoped CPU time, average CPU utilization, peak RSS/VMS memory, disk I/O, wall time, exit code, and optional interval samples. Unrelated system processes are excluded.

**Features:**
- **Process-tree scope** — follow the launched command and discovered descendants
- **CPU and memory metrics** — total CPU time, two CPU percentage conventions, peak RSS/VMS
- **Runtime and I/O** — wall time, exit code, disk reads/writes, process counts
- **Repeatable tests** — warmups, repetitions, JSON summary, and CSV interval samples
- **Cross-platform** — Windows, macOS, and Linux through Python and `psutil`

**Install:**
```bash
npx skills add DoiiarX/claude-skills@command-resource-profiler
```

**Quick start:**
```bash
python scripts/profile_command.py \
  --warmup 1 --repeat 3 --interval 0.1 \
  --output profile.json --samples-output samples.csv -- \
  your-command arg1 arg2
```

### [json-flat-tool](./json-flat-tool/)

A single-script tool (`jstool.py`) for viewing, inspecting, and editing JSON data.

**Auto-triggers on:**
- JSON files on disk — view, inspect, search
- JSON config files — `config.json`, `settings.json`, `package.json`, `tsconfig.json`, etc.
- Editing / modifying fields in any JSON file — set key, delete key, insert array element
- HTTP / REST API responses — curl output, Postman captures, fetch() results
- WebSocket (WSS) message payloads — frames captured from browser DevTools or a proxy
- Orderbook / market-data snapshots — CLOB, AMM, streaming events, RPC responses
- Inline JSON pasted directly into chat

**Features:**
- **Flat path/type/value view** — every field on one line: `users[0].name string Alice`
- **Schema mode** (`-s`) — collapses arrays, deduplicates, hides values
- **Depth limiting** (`-d N`) — collapse containers beyond N key levels, showing `{3 keys}` / `[12 items]` summaries
- **Path filtering** (`-F`) — show only a subtree
- **Pagination** — row-level (`-n`, `-O`) and element-aware (`-E`, `-L`)
- **Null type inference** — infers null field types from sibling values
- **JSON Schema Draft 7** — infer schema from any JSON file
- **Edit commands** — `set`, `before`, `after`, `del`, `set-null` with preview by default; B-style `path = value` syntax supported
- **`@file` value syntax** — pass a JSON file as the value: `set my.key @/tmp/val.json`
- **Copy / merge** — deep-clone a subtree (`copy`), deep-merge a patch file (`merge`)
- **Find** — search paths and values by regex or glob (`find -k/-v/-i/-g`)
- **Stdin / pipe support** — omit file argument to read from stdin
- **Fuzzy command suggestions** — Levenshtein-based typo correction

**Install:**
```bash
npx skills add DoiiarX/claude-skills@json-flat-tool
```

**Quick start:**
```bash
# View structure (schema mode)
python3 ~/.claude/skills/json-flat-tool/jstool.py view data.json -s

# Filter subtree with element-aware pagination
python3 ~/.claude/skills/json-flat-tool/jstool.py view data.json -F "data[0].bids" -E 2 -L 5

# Depth-limited view; combine with filter to expand one branch
python3 ~/.claude/skills/json-flat-tool/jstool.py view data.json -d 2
python3 ~/.claude/skills/json-flat-tool/jstool.py view data.json -d 1 -F users

# Row-level pagination
python3 ~/.claude/skills/json-flat-tool/jstool.py view data.json -n 50 -O 100

# Infer JSON Schema
python3 ~/.claude/skills/json-flat-tool/jstool.py schema data.json --title "My API"

# Edit: set (preview / apply / B-style)
python3 ~/.claude/skills/json-flat-tool/jstool.py set users[0].name Bob data.json
python3 ~/.claude/skills/json-flat-tool/jstool.py set users[0].name Bob data.json -f
python3 ~/.claude/skills/json-flat-tool/jstool.py "users[0].name" = Bob data.json -f

# Edit: insert / delete / set-null
python3 ~/.claude/skills/json-flat-tool/jstool.py before users[1] '{"name":"Eve"}' data.json -f
python3 ~/.claude/skills/json-flat-tool/jstool.py after  users[1] '{"name":"Eve"}' data.json -f
python3 ~/.claude/skills/json-flat-tool/jstool.py del users[2] data.json -f
python3 ~/.claude/skills/json-flat-tool/jstool.py set-null users[0].age data.json -f

# Set value from file (@file syntax)
python3 ~/.claude/skills/json-flat-tool/jstool.py set provider.openai @/tmp/openai.json config.json -f

# Clone a subtree to a new path
python3 ~/.claude/skills/json-flat-tool/jstool.py copy \
  provider.google.models.old-model \
  provider.google.models.new-model \
  config.json -f

# Deep-merge a patch file into a path
python3 ~/.claude/skills/json-flat-tool/jstool.py merge provider.models /tmp/patch.json config.json -f

# Find: regex (default), path-only, value-only, case-insensitive, glob
python3 ~/.claude/skills/json-flat-tool/jstool.py find apiKey config.json
python3 ~/.claude/skills/json-flat-tool/jstool.py find apiKey config.json -k
python3 ~/.claude/skills/json-flat-tool/jstool.py find "sk-.*" config.json -v
python3 ~/.claude/skills/json-flat-tool/jstool.py find "APIKEY" config.json -k -i
python3 ~/.claude/skills/json-flat-tool/jstool.py find "*api*" config.json -k -g -i

# HTTP API response — fetch and inspect inline
curl -s https://api.example.com/markets | \
  python3 ~/.claude/skills/json-flat-tool/jstool.py view -s

# WebSocket capture — save frame to temp file and inspect
echo '{"type":"book","market":"..."}' > /tmp/wss.json
python3 ~/.claude/skills/json-flat-tool/jstool.py view /tmp/wss.json -s

# Pipe / stdin
echo '{"name":"Alice"}' | python3 ~/.claude/skills/json-flat-tool/jstool.py view
curl https://api.example.com/data | python3 ~/.claude/skills/json-flat-tool/jstool.py schema
```

---

### [local-issue](./local-issue/)

本地 issue 文件系统管理工具，用于创建和跟踪项目任务。Issue 即 Markdown 文件，存于版本控制之中，无服务、无网络、无 API。

**Features:**
- **自动编号** — 扫描 open/closed 目录，自动分配下一个编号
- **多类型支持** — bug / feature / refactor / chore / docs
- **模板化内容** — 根据类型自动生成对应章节结构
- **Git 集成** — 自动提交 issue 文件，规范引用格式
- **即时处理** — 创建后立即开始分析和实现
- **`list`** — 按 type 分组列出 issues，支持 `--state open|closed|all` / `--type` / `--priority` / `--limit` 过滤
- **`status`** — 详细仪表盘：总计数、type 分布、priority 分布、最近更新、最近 issue 相关 commits
- **`log`** — Git-style commit 历史：`log` 列出所有引用 issue 的 commits；`log #NNN` 查看指定 issue 的完整 commit 时间线

**Install:**
```bash
npx skills add DoiiarX/claude-skills@local-issue
```

**Quick start:**
```
/new-issue 记录 WebSocket 断线重连 bug
/new-issue 添加历史推文拉取功能
/new-issue 重构 plugin manager 依赖解析
```

```
list issues
list issues --state closed --type bug
issue status
issue log
issue log #064
```

---

### [multipar-cli](./multipar-cli/)

Comprehensive guide for MultiPar CLI - PAR2 recovery file creation and verification tool.

**Features:**
- **PAR2 Creation** — create recovery files with configurable redundancy (5-100%)
- **File Verification** — detect corruption using parity data
- **Automatic Repair** — restore damaged files from recovery blocks
- **Batch Processing** — automate verification and repair workflows
- **Redundancy Optimization** — tune block sizes and memory usage
- **Scripting Examples** — Bash, Batch, and Python automation templates
- **Integration Patterns** — rsync, 7-Zip, and cloud storage workflows
- **Best Practices** — redundancy strategies, verification schedules, storage recommendations
- **Troubleshooting** — common issues, error codes, performance tuning

**Install:**
```bash
npx skills add DoiiarX/claude-skills@multipar-cli
```

**Quick start:**
```bash
# Create PAR2 with 10% redundancy
par2j64.exe c -r10 backup.par2 files/*

# Verify files
par2j64.exe v backup.par2

# Repair damaged files
par2j64.exe r backup.par2

# High redundancy for critical data
par2j64.exe c -r50 critical.par2 important_files/*

# Automated verification script
for par2 in *.par2; do
  par2j64.exe v -q "$par2" && echo "✓ $par2" || echo "✗ $par2"
done
```

---

### [optimize-small-icons](./optimize-small-icons/)

Build Windows ICO families whose tiny frames retain important semantic colors and disconnected details.

**Features:**
- Hue-matched matte resampling for saturated subpixel details
- Projection-based matte layers for dark, gray, and low-chroma features
- Exclusive source ownership and protected target anchors
- Contrast-weighted one-pixel core inheritance for important components
- Stable agent-friendly outputs: `icon.ico`, `preview.png`, `report.json`, and `frames/`
- Built-in `windows-full` and `windows-minimum` exact-size presets
- Cross-platform rules that always regenerate from canonical high-resolution artwork
- Versioned internal strategy with dry-run, JSON output, layered help, and independent ICO inspection

**Install:**
```bash
npx skills add DoiiarX/claude-skills@optimize-small-icons
```

**Quick start:**
```bash
python scripts/icon_resampler.py build \
  --input logo.png \
  --config icon-recipe.json \
  --preset windows-full \
  --output-dir icon-output \
  --json

python scripts/icon_resampler.py inspect --input icon-output/icon.ico --json
```

---

### [server-md](./server-md/)

Manage a private server inventory through a compact `server-md.json` sidecar. The bundled CLI answers canonical-location, server, resource, and shortcut questions without reading long Markdown notes.

**Features:**
- Compact `find`, `locate`, `server brief`, `server probe`, `resource list`, and `shortcut list` commands
- Server aliases, lifecycle status, traffic role, resource metadata, tags, warnings, tips, and constraints
- Head/tail-style limiting through `--limit` and `--tail`
- Render-only operational shortcuts by default
- Secret masking and `redact-check` before publishing

**Install:**
```bash
npx skills add DoiiarX/claude-skills@server-md
```

**Quick start:**
```bash
server-md find --tag web --status active --limit 20 --json
server-md find --tag web --type shortcut --type resource --json
server-md server brief --name prod --tag web --status active --limit 20 --json
server-md server probe --name prod --json

# Inspect the bundled sanitized sidecar example
server-md find --sidecar ~/.claude/skills/server-md/examples/server-md.example.json --tag web --status active --json
```

---

### [scientific-color-maps](./scientific-color-maps/)

Choose, implement, and audit scientifically accurate color maps without distorting the underlying data.

**Features:**
- Select sequential, diverging, cyclic, categorical, or discrete maps from data semantics
- Decide whether hue changes carry real meaning or merely decorate an existing length, height, or position encoding
- Replace rainbow, jet, turbo, and inaccessible red-green scales
- Check perceptual uniformity, grayscale readability, and color-vision accessibility
- Validate normalization, meaningful centers, limits, clipping, missing data, and color bars
- Apply practical guidance for Matplotlib, ggplot2, and JavaScript visualization libraries
- Distinguish definite visual defects from risks that require source palette analysis
- Screen exact palette samples with a pipeline-friendly, JSON-capable CIELAB audit CLI

**Install:**
```bash
npx skills add DoiiarX/claude-skills@scientific-color-maps
```

**Quick start:**
```text
Use $scientific-color-maps to choose a palette for this temperature heatmap.
Audit this figure for misleading color mapping and color-vision accessibility.
Replace the jet colormap in this Matplotlib plot without changing its data semantics.
```

Based on Crameri, Shephard, and Heron, ["The misuse of colour in science communication"](https://doi.org/10.1038/s41467-020-19160-7) (Nature Communications, 2020).

---

## Installation

Skills are installed via the [Skills CLI](https://skills.sh/):

```bash
npx skills add DoiiarX/claude-skills@<skill-name>
```

## Contributing

Skills live in their own subdirectory with a `SKILL.md` descriptor and implementation files.

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