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// Skill profile

AI Code Helper

version: "2.0.1"

by ckchzh · published 2026-03-22

开发工具数据处理
Total installs
0
Stars
★ 0
Last updated
2026-03
// Install command
$ claw add gh:ckchzh/ckchzh-ai-code-helper
View on GitHub
// Full documentation

---

version: "2.0.1"

name: Claude Code

description: "Review, validate, and generate code with AI-powered linting. Use when fixing bugs, generating boilerplate, formatting, or running analysis."

author: BytesAgain

homepage: https://bytesagain.com

source: https://github.com/bytesagain/ai-skills

---

# AI Code Helper

A developer tools toolkit for checking, validating, generating, formatting, linting, explaining, converting, and fixing code from the command line. AI Code Helper provides persistent, file-based logging for each operation with timestamped entries, summary statistics, multi-format export, and full-text search across all records.

Commands

| Command | Description |

|---------|-------------|

| `check` | Check code — log check results or view recent entries |

| `validate` | Validate code or configurations — log validation results or view history |

| `generate` | Generate code snippets or boilerplate — log generation requests or view recent ones |

| `format` | Format code — log formatting operations or view recent entries |

| `lint` | Lint code — log linting results or view recent lint entries |

| `explain` | Explain code — log explanation requests or view recent explanations |

| `convert` | Convert between formats or languages — log conversion operations or view history |

| `template` | Template management — log template operations or view recent templates |

| `diff` | Diff comparison — log diff results or view recent diffs |

| `preview` | Preview changes — log preview operations or view recent previews |

| `fix` | Fix code issues — log fix operations or view recent fixes |

| `report` | Report generation — log report entries or view recent reports |

| `stats` | Show summary statistics across all log categories (entry counts, data size, first entry date) |

| `export <fmt>` | Export all data in json, csv, or txt format to the data directory |

| `search <term>` | Full-text search across all log files (case-insensitive) |

| `recent` | Show the 20 most recent entries from the activity history log |

| `status` | Health check — show version, data directory, total entries, disk usage, and last activity |

| `help` | Show the full help message with all available commands |

| `version` | Print the current version string |

Each data command (check, validate, generate, etc.) works in two modes:

  • **Without arguments**: displays the 20 most recent entries from that category
  • **With arguments**: saves the input as a new timestamped entry and reports the total count
  • Data Storage

    All data is stored in plain text files under the data directory:

  • **Category logs**: `$DATA_DIR/<command>.log` — one file per command (e.g., `check.log`, `lint.log`, `generate.log`), each entry is `timestamp|value`
  • **History log**: `$DATA_DIR/history.log` — audit trail of every command executed with timestamps
  • **Export files**: `$DATA_DIR/export.<fmt>` — generated by the `export` command in json, csv, or txt format
  • Default data directory: `~/.local/share/ai-code-helper/`

    Requirements

  • Bash (with `set -euo pipefail` support)
  • Standard Unix utilities: `grep`, `cat`, `date`, `echo`, `wc`, `du`, `head`, `tail`, `basename`
  • No external dependencies or API keys required
  • When to Use

    1. **Code review and validation** — When you need to log code review findings, validation results, or quality checks for tracking purposes

    2. **Generating boilerplate or snippets** — When you want to log code generation requests and keep a history of what was generated and when

    3. **Linting and formatting tracking** — When you're running lint or format passes across a codebase and want to log results for each file or module

    4. **Code conversion and migration** — When converting code between languages or formats and you need to track what was converted and any issues found

    5. **Bug fixing and diff analysis** — When fixing bugs and you want to log the issue, the fix applied, and preview/diff results for future reference

    Examples

    # Check toolkit status
    ai-code-helper status
    
    # Log a code check result
    ai-code-helper check "auth.py — missing input validation on login endpoint, 3 issues found"
    
    # Log a validation result
    ai-code-helper validate "docker-compose.yml — valid, all services resolve correctly"
    
    # Log a code generation request
    ai-code-helper generate "Created REST API boilerplate with FastAPI, includes auth middleware and rate limiting"
    
    # Log a lint pass
    ai-code-helper lint "src/ — 12 warnings (unused imports), 0 errors, eslint v8.50"
    
    # Log a code explanation
    ai-code-helper explain "Binary search implementation in utils.py — O(log n) time, handles edge cases for empty arrays"
    
    # Log a fix
    ai-code-helper fix "Fixed race condition in worker.py — added mutex lock around shared state access"
    
    # View recent lint entries
    ai-code-helper lint
    
    # Search across all logs for a specific term
    ai-code-helper search "validation"
    
    # Export all data as JSON
    ai-code-helper export json
    
    # View summary statistics
    ai-code-helper stats
    
    # Show recent activity
    ai-code-helper recent

    Output

    All commands return output to stdout. Export files are written to the data directory:

    ai-code-helper export json   # → ~/.local/share/ai-code-helper/export.json
    ai-code-helper export csv    # → ~/.local/share/ai-code-helper/export.csv
    ai-code-helper export txt    # → ~/.local/share/ai-code-helper/export.txt

    Every command execution is logged to `$DATA_DIR/history.log` for auditing purposes.

    ---

    Powered by BytesAgain | bytesagain.com | hello@bytesagain.com

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