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Found 10 Skills
Mine GitHub, GitLab, and git history for people, infrastructure, and leaked secrets. Use when investigating a developer or org on GitHub, finding leaked API keys or credentials in code, or pivoting from commits, emails, and repos.
Mine GitHub, GitLab, and git history for identities, infrastructure, and leaked credentials using commit author emails, GitHub code search, the commit .patch endpoint, trufflehog, gitleaks, git log pickaxe, and full-ref history scans. Use when investigating a developer or organisation on GitHub, finding leaked API keys, AWS access keys or tokens in code, enumerating org members and their personal repos, recovering secrets deleted from HEAD but present in history or forks, or checking exposed .git directories, gists, and CI logs.
Use when asked to find skill opportunities in a codebase, audit a repo for automatable workflows, decide what skills to write, or mine git history and existing automation for recurring multi-step procedures worth turning into Claude Code skills.
Generate release notes from git commits and GitHub PRs/issues. Use when asked to "create release notes", "generate changelog", "prepare release", "what changed since last release", or need to document changes for a new version. Analyzes commit history, merged PRs, and closed issues to produce GitHub Releases formatted notes.
Periodic cross-repo reflection analyzing 30 days of git history, extracting patterns via RAGS loop, and auto-creating skills
Scans the developer's machine for dead side projects, autopsies each one from its git history (died at the payments wall, killed by a newer project, finished but never shipped), surfaces their personal death patterns, and picks the corpse most worth resurrecting — then helps ship it. Use when the user mentions abandoned, unfinished, or old side projects, asks "what should I finish", wants to revive or resurrect a project, says "run the graveyard", wonders why they never finish anything, or is about to start a new project that sounds like one they already built. Runs entirely locally.
Capture architectural decisions and changes made during a GSDL project into a structured markdown document. Analyzes git history and diffs, extracts key decisions, and optionally pushes the doc to Slite or Notion as a child page. Called by the gsdl orchestrator after all implementation tasks are complete.
Post-mortem diagnostic analysis of failed or stuck workflows. Detects stuck loops, missing artifacts, abandoned work, scope drift, and crash/interruption patterns through git history and plan file analysis. Produces a structured diagnostic report with anomaly confidence levels, root cause hypotheses, and recommended remediation. READ-ONLY: never modifies files. Use for "forensics", "what went wrong", "why did this fail", "stuck loop", "diagnose workflow", "post-mortem", "workflow failure", or "session crashed". Do NOT use for debugging code bugs (use systematic-debugging), reviewing code quality (use systematic-code-review), or fixing issues (forensics only diagnoses).
Search and restore AI conversation context from git history
Evaluates a repository's development process maturity across documentation, workflow, code review, dependency management, project organization, portability, and leadership signals, using repo files and git history. Use when the user says /review:process or /review:review-process, requests a process review, asks for development process fitness scores, wants to assess repo health or contributor readiness, or asks how well a project follows software development best practices. Only reports findings with confidence >= 7/10.