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log-analyzer
Parse application logs, surface error clusters, and summarize failure patterns
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
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Parse application logs, surface error clusters, and summarize failure patterns
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Create a Pull Request for the current branch
Review an open PR before approving it
Analyze upstream specs (agentskills.io, Claude Code plugin/marketplace format, OpenClaw, MCP, CodeRabbit, APM) for changes, identify gaps in skillsaw's rule coverage, and create or update PRs to close those gaps. Use when performing periodic maintenance on the skillsaw linter.
Create a skillsaw rule plugin — a pip-installable Python package that adds custom lint rules to skillsaw. Walks through scaffolding the package, writing rules against the lint tree, testing, and publishing to PyPI. Use when a user wants to share skillsaw rules across repositories or publish them for others.
Survey the AI coding assistant and agentic tool ecosystem, assess skillsaw's competitive position, identify emerging patterns and missing capabilities, and produce a prioritized strategic report as a GitHub issue.
Fix skillsaw lint violations — apply deterministic autofixes, then resolve the remaining violations with targeted edits guided by `skillsaw explain`. Use when skillsaw reports violations, when asked to clean up lint findings, or after `skillsaw fix` leaves violations behind.
| name | log-analyzer |
| description | Parse application logs, surface error clusters, and summarize failure patterns |
| compatibility | Requires Python 3.9+ |
| metadata | {"author":"platform-team","version":"1.0"} |
Parse application log files, group recurring errors, and produce a summary of failure patterns.
Use when the user asks to analyze logs, find recurring errors, or summarize failures from a log file.
Run the bundled analyzer against the log file:
python scripts/analyze.py --input app.log --format json
Match each error cluster against the known failure patterns documented in the pattern reference.
Report the top error clusters with counts, first/last occurrence timestamps, and the matched pattern name.