邮件、日历、任务管理、自动化（7907 个）
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.
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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.
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Manage tasks in CS-Notes by reading, creating, and updating Todo entries, priorities, and progress states. Use the supplied push and pull scripts to transfer changes under folder restrictions that exclude company project documents.
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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.
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Use the Notion API to search, create, and update pages and databases, read or append page content, change item properties, and retrieve records using filters and sorting.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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Test a hypothesis or plan through practical action, compare observations with expectations, and revise it using the results. Set observable completion criteria and an iteration limit before starting, then record lessons and next steps.
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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.
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