Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Unattended batch over the "In progress" column of the TiXL road-map GitHub board. Implements straightforward tickets as individual git stashes and writes plans for the rest as files in .agentic/Plans/ — no questions, no commits, no GitHub writes. Use when the user wants to work through their In-progress tickets, process the board backlog, or invokes /process-tickets.
Manages GitHub issue and pull-request lifecycle including creation, updates, triage labelling, and closeout metadata using canonical templates and repository taxonomy. Use when a maintainer asks to create, update, close, or triage GitHub issues or PRs, or when issue creation requires codebase analysis for scope, labels, or acceptance criteria.
Maintainer release and milestone operating workflow. Use when a maintainer wants to plan a release, create milestone issues, sync GitHub issue or PR state, generate a daily review brief, or manage stale PRs and backlog routing.
Post a "what's changed since the last release" recap to the release Slack channel for final QA. Groups merged PRs by author and classifies each as feature / bug fix / task. Use when the user wants a release recap, a changelog since the last tag, or to prep QA before cutting a release from main.
Rename the current Claude session for peon-ping notifications and terminal tab title. Use when user wants to give this session a custom name like "/peon-ping-rename Auth Refactor". Call with no argument to reset to auto-detect.
Summarize and compress the current conversation history into a structured context snapshot, then call compact_chat_history to save it. Read this skill only when the user explicitly asks to compact/summarize — system-triggered compaction injects the instructions directly without requiring a skill read.
Create and manage calendar projects for scheduling, content planning, and event management. Use when user wants to create a calendar, schedule events, or build a content/publishing calendar.
Create Gentle AI issues with issue-first checks. Trigger: creating GitHub issues, bug reports, or feature requests.
Trigger: broad exploration, multi-file reads, tests/builds, fresh review, or multi-step debug. Orchestrate complex work via delegate_task to protect context.
Plan commits as reviewable work units. Trigger: implementation, commit splitting, chained PRs, or keeping tests and docs with code.