Email, calendars, task management, and automation (7.9K skills)
Read active and pending tasks from todos.json, group them by P0–P9 priority, and identify what comes next. Tasks with equal priority are ordered by status and creation time, with JSON output also available.
Coordinate Lark and Feishu work from Codex by routing requests to the appropriate skills and CLI commands. Resolve linked objects, choose user or bot access, and guide reading or updates to documents, spreadsheets, events, and tasks.
Find locally stored Codex conversations from a thread link, ID, or session file path. Review requests, answers, and executed commands, build a timeline of past work, search relevant details, and export a Markdown transcript.
Manage a project's stored materials through inventory, migration, archiving, and ranking based on verified source reads. Changes follow owner approval, preserve material references, and include validation records and rollback procedures.
Set up and inspect periodic prompts that continue a specific Codex thread after idle checks pass. It supports App-native automation and a headless fallback, with controls to inspect status and enable or disable scheduled prompts.
Monitor an OpenClaw session’s elapsed time and completed task count to identify when a fresh session is advisable. The script issues threshold warnings, records session changes, displays history, and helps prepare for a reset.
Review a project’s past Codex sessions, saved memory, and existing skills to identify recurring workflows. Receive prioritized recommendations for updating incomplete skills or creating distinct new ones, grounded in actual project history.
Give new users a practical introduction to what the agent can help with, including coding, memory, research, and planning. Explain natural ways to ask for work, recall earlier lessons, and prepare handoffs for later sessions.
Organize work by identifying whether the goal is research, planning, building, or fixing. The skill selects specialist agents, checks existing plans, adjusts agent allocation, and presents the proposed workflow for approval before execution.
Resume work from a handoff document by reviewing linked materials and checking the current code against recorded changes. The skill proposes next steps, creates a prioritized task list, and assigns approved work to specialist agents.
Create reusable Claude Code prompts that users invoke with slash commands. Explains project and personal command files, arguments, file references, and Bash output so recurring tasks such as code reviews and commit message drafting have reusable templates.
Coordinate parallel agents running in the background while keeping lengthy results out of the main conversation. Track completion through shared status files, store detailed findings separately, and organize work into batches of up to 15 agents.
Keep lengthy agent transcripts out of the main conversation by using synchronous Task calls that return summaries. This skill sets a specific execution rule intended to preserve separate agent contexts and avoid triggering conversation compaction.
Manage background agents without repeatedly checking whether they have finished. The skill directs the main agent to continue other work, rely on completion notifications, and inspect status files when results are needed or the user asks for an update.
Search stored learnings from past sessions by meaning or keywords. Retrieve relevant entries in full, along with their type, confidence, and session context, to revisit earlier findings about development patterns, installation, or errors.
Search previous work records to recover useful decisions, successful approaches, and failed attempts. Find context in handoffs, plans, and build or test histories, then use those findings when tackling similar tasks or recurring errors.
Save working solutions, design decisions, code patterns, and failed approaches for future recall. The skill classifies entries, extracts tags, stores them in PostgreSQL with numerical text representations, and returns a record ID.
Create a structured YAML handoff before clearing a conversation. It records completed work, decisions, findings, blockers, and next steps so a later session has the information needed to resume, with an outcome recorded from user feedback.
Create a concise YAML handoff, a structured text document, for another agent or session. Capture completed work, decisions, blockers, file references, verification commands, and next steps so work can resume with the key context available.
Coordinate background agents using system progress reminders while continuing other work. Read their output files after completion signals, avoiding repeated status checks and full transcripts that consume tokens and crowd the main conversation.
Discover the tools, workflows, specialist agents, and hooks available in a configured workspace. Interactive guidance and topic-specific commands help you choose relevant capabilities, inspect usage examples, and understand customization options.
Review saved session learnings to find recurring successes, failures, and decisions. Consolidates similar patterns, proposes reusable skills, rules, event-triggered actions, or agent updates, and creates approved changes with references to the source sessions.
Review completed work and its process against the original goals and acceptance criteria. Identify specific problems, root causes, and actionable fixes, while checking external criticism against evidence and correcting valid issues.
Organize competing tasks by impact, difficulty, and dependencies, then choose one main priority. State what completion looks like, keep unrelated requests queued, and finish and verify the chosen task before reassessing the remaining work.