업무 효율화 스킬

Get reminders about when to run `/compact` during long or multi-stage sessions. The skill tracks tool calls and suggests compaction at configurable intervals, helping you preserve plans and milestones while making room for the next phase.

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• Choosing a pause point between research and implementation
• Starting a fresh phase after completing a milestone
• Clearing context before switching to an unrelated task

Turn a rough medical email draft into clearer, more professional correspondence. The skill adjusts tone for recipients such as mentors, colleagues, editors, or patients, and returns a subject line, a polished email, a change list, and a tone assessment.

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• Polishing a draft email to a patient
• Adjusting the tone of a message to a mentor
• Improving clarity in medical correspondence

Check installed Huashu skills against repository version tags or commits and report which are current, outdated, or unclear. The check reads remote version information without downloading skill files; updating remains the user's choice.

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• Checking whether installed Huashu skills have newer versions
• Reviewing which skills are current or outdated
• Setting up a monthly update check

Organize prompts by identifying their purpose and placing them in one of five categories: technical development, content creation, teaching, product consulting, or general tools. Capture useful details, preserve the prompt’s structure, create a practical filename, and add an entry to an index.

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• Save a prompt in the right category
• Organize pasted prompts for later reuse
• Add a clear title and searchable tags to a prompt

Use this skill to view the skill-bus overview, current status, and available commands. It gives you a quick reference for understanding what the skill-bus offers and how to access its features.

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• Checking the skill-bus status
• Finding available skill-bus commands
• Getting a quick feature overview

Temporarily disables skill-bus subscriptions at either the global or project level by changing the relevant configuration setting. Subscriptions remain in place, and the skill provides the command to enable them again when needed.

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• Pausing all skill-bus subscriptions globally
• Disabling skill-bus for one project
• Temporarily stopping subscription events

Adds subscriptions to skill events so context can be inserted before or after a skill runs. Optional conditions can control when each subscription applies, using checks such as file presence, Git branch, environment variables, or file contents.

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• Adding context before a skill runs
• Appending context after a skill completes
• Applying subscriptions only on a chosen Git branch

Save useful project learnings, debugging fixes, and deployment notes as dated Markdown files with tags. Maintain a central index so an agent can find and reuse prior solutions before repeating work or investigating a similar issue.

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• Preserve a tricky bug fix for later
• Record deployment steps and lessons
• Look up past solutions before debugging

Schedule reminders, recurring tasks, and one-time jobs using system crontab.

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Collaborate with other agents in AutoSwarm company mode via the `opc-collab` CLI — send messages, request user input, delegate work, read the manager board, respond in meetings, propose task adjustments.

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Standing rules for how any role in an AutoSwarm company coordinates with its peers — work-item discipline, messaging, meetings, and blocking collaboration. Loaded only in company_mode.

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Evolve new skills from project experience. Use when a repeating pattern, useful workflow, or hard-won knowledge should be captured as a reusable skill for the current project.

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Full build workflow for adding new syscall descriptions to syzkaller

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Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations.

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SkillsBench contribution workflow. Use when: (1) Creating benchmark tasks, (2) Understanding repo structure, (3) Preparing PRs for task submission.

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Fast workflow to inspect PCAPs and extract protocol-level details using tshark

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SkillsBench task authoring — walk a contributor from idea to submission-ready task following CONTRIBUTING.md and the task-implementation rubric. Use when the user wants to create a new SkillsBench task, scaffold a task from an existing workflow (notebook, Excel workbook, document, dataset), convert a prompt or a benchmark item into a SkillsBench task, write skills for a task, or prepare a SkillsBench PR. Pairs with `task-review` (run that as a self-check before submitting).

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Three.js scene-graph parsing and export workflows: mesh baking, InstancedMesh expansion, part partitioning, per-link OBJ export, and URDF articulation.

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SkillsBench task PR review — classifies the task track (standard / research / multimodal), runs static policy checks against the track-specific rubric, benchmarks the task across oracle plus Claude and Codex (with and without skills), audits trajectories for cheating and skill invocation, and produces a `pr-N-task-timestamp-run.txt` review report alongside a `prN.zip` bundle of trajectories. Use when reviewing a SkillsBench task PR (by number, branch, or local task path), when the user asks to review a task, run benchmarks on a PR, audit a submission, classify a task as research or multimodal track, or prepare a comment to post on a SkillsBench PR.

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Intelligently organizes your files and folders across your computer by understanding context, finding duplicates, suggesting better structures, and automating cleanup tasks. Reduces cognitive load and keeps your digital workspace tidy without manual effort.

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Parallel processing with joblib for grid search and batch computations. Use when speeding up computationally intensive tasks across multiple CPU cores.

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Optimize workload distribution across workers, processes, or nodes for efficient parallel execution. Use when asked to balance work distribution, improve parallel efficiency, reduce stragglers, implement load balancing, or optimize task scheduling. Covers static/dynamic partitioning, work stealing, and adaptive load balancing strategies.

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General workflows and best practices for exoplanet detection and characterization from light curve data. Use when planning an exoplanet analysis pipeline, understanding when to use different methods, or troubleshooting detection issues.

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Use when working with Lean 4 (.lean files), writing mathematical proofs, seeing "failed to synthesize instance" errors, managing sorry/axiom elimination, or searching mathlib for lemmas - provides build-first workflow, haveI/letI patterns, compiler-guided repair, and LSP integration

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