dotfiles/dot_config/opencode/skills/ce-sessions/SKILL.md
Search and ask questions about your coding agent session history. Use when asking what you worked on, what was tried before, how a problem was investigated across sessions, what happened recently, or any question about past agent sessions. Also use when the user references prior sessions, previous attempts, or past investigations — even without saying 'sessions' explicitly.
npx skillsauth add pkking/dotfiles ce-sessionsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Search your session history.
/ce-sessions [question or topic]
/ce-sessions
Git branch (pre-resolved): !git rev-parse --abbrev-ref HEAD 2>/dev/null || true
If the line above resolved to a plain branch name (like feat/my-branch), pass it to the agent. If it still contains a backtick command string or is empty, it did not resolve — omit it and let the agent derive it at runtime.
If no argument is provided, ask what the user wants to know about their session history. Use the platform's blocking question tool: AskUserQuestion in Claude Code (call ToolSearch with select:AskUserQuestion first if its schema isn't loaded), request_user_input in Codex, ask_user in Gemini, ask_user in Pi (requires the pi-ask-user extension). Fall back to asking in plain text only when no blocking tool exists in the harness or the call errors (e.g., Codex edit modes) — not because a schema load is required. Never silently skip the question.
Dispatch ce-session-historian with the user's question as the task prompt. Omit the mode parameter so the user's configured permission settings apply. Include in the dispatch prompt:
testing
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
testing
Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".
data-ai
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
development
Run the full autonomous engineering pipeline end-to-end (plan, work, code review, test, commit, push, open PR, watch CI, fix CI failures until green). Use only when the user explicitly requests hands-off execution of a software task and provides a feature description; do not auto-route casual conversation here.