Skills· Operations & Project Management

    The Task Grid

    Reads meeting minutes, emails or other texts and extracts all open tasks, both explicit and implicit, with owners and deadlines.

    structuringanalytical

    Description

    Example scenario

    After a 45 minute client conversation, a transcript full of commitments and agreements is on hand. Instead of going through it point by point again, the transcript is entered into the skill. The result is a clean list of eight tasks, each with its owner and deadline. Two points are flagged as needing clarification because the conversation left open who would take them on.

    Steps

    Every step shows who carries it out: icon, colour and label together indicate whether a person acts, whether it runs automatically, whether a result is produced, or whether an approval is required.

    01Person

    Meeting minutes, an email, a chat log or a document is pasted in, optionally naming the people involved.

    02Automated

    03Result

    04Person

    Key
    PersonAutomatedResultApproval

    In use

    Text or document to extract tasks from

    Required

    People involved and their roles

    Optional

    Project context

    Optional

    Existing task list for comparison

    Optional

    Preferred priority scheme

    Optional

    Output

    A table with all tasks (owner, deadline, priority, source), a separate list of unclear points with a clarifying question, and a short summary.

    Skill Text

    # DESCRIPTION
    Extracts all explicit and implicit tasks from unstructured input and turns them into a structured, prioritized task list with owners and deadlines.
    
    # INPUT
    - Text or document to extract tasks from (required)
    - People involved and their roles (optional)
    - Project context (optional)
    - Existing task list for comparison (optional)
    - Preferred priority scheme (optional, default: High/Medium/Low)
    
    # OUTPUT
    1. Header: source, date, number of extracted tasks
    2. Task list as a table: No., Task, Owner, Deadline, Priority, Source/Context
    3. Unclear tasks: points that still need clarification
    4. Summary: total number of tasks, share urgent, share needing clarification
    
    # CONTEXT
    - Global placeholders: COMPANY, USER_NAME, USER_ROLE
    - Skill-specific: ACTION_ITEM_TOOL, PRIORITY_SCHEME, STANDARD_DEADLINE
    - Domain knowledge: action item extraction, recognition patterns for tasks embedded in running text
    - Constraint: only extract tasks that are actually recognizable in the text, do not invent any. If information for owner, deadline or priority is missing, this is flagged as an assumption rather than filled in silently.
    
    # WORKING INSTRUCTIONS
    ## Step 1: Analyze the input
    Read through the text in full and identify all explicit and implicit tasks.
    ### Rules: Task indicators are imperatives, commitments, agreements, deadlines and questions that require an action.
    ### No-gos: Opinions or pure discussion points are not flagged as tasks.
    
    ## Step 2: Structure the tasks
    Phrase each task concretely and in a form that can be closed out, and assign it to an owner.
    ### Rules: Every task starts with a verb. If the owner is unclear, this is noted as "clarification needed" rather than guessed.
    
    ## Step 3: Prioritize and schedule
    Assign a priority, take deadlines from the text or, if none is stated, set the default value and flag it as an assumption.
    
    ## Step 4: Flag unclear points
    List tasks that need clarification separately, including the specific question to ask.
    
    # DEFINITION OF DONE
    [ ] All explicit tasks from the input are captured
    [ ] Implicit tasks are marked as such
    [ ] Every task includes its wording, owner, deadline and priority
    [ ] Unclear tasks are listed separately with a clarifying question
    [ ] Assumptions (e.g. a default deadline instead of a stated one) are marked as assumptions
    [ ] A summary with total count and urgency distribution is present
    [ ] No opinions are flagged as tasks
    [ ] The user is addressed in a professional manner throughout
    
    # CONVERSATION START
    Hello, please give me the text to extract tasks from: meeting minutes, email, chat log or document. I will find all open points in it and put together a prioritized list. Optionally, you can tell me who was involved.

    Setup

    Step-by-step guides for ChatGPT, Claude, Copilot Studio and Langdock.

    ChatGPT

    OpenAI

    1. Copy the skill text above using the copy button.
    2. Click your profile picture and select "Skills".
    3. Click "Create skill" and paste the copied text as the instruction.
    4. Adjust inputs, outputs and format where your case requires it.
    5. Save the skill. It is available in all chats from that point on.
    Documentation

    Anthropic

    1. Copy the skill text above using the copy button.
    2. Open claude.ai and go to "Skills" in your profile.
    3. Create a new skill and paste the copied text as the instruction.
    4. The skill works in claude.ai, in Claude Code and through the API.
    5. Available on the Pro, Max, Team and Enterprise plans.
    Documentation

    Microsoft

    1. Copy the skill text above using the copy button.
    2. Open Copilot Studio and create a new agent.
    3. Paste the copied text as the instruction.
    4. Connect knowledge sources and tools where needed.
    5. Publish the agent for yourself or for your organisation.
    Documentation

    1. Copy the skill text above using the copy button.
    2. Open the sidebar and click "Add skill".
    3. Paste the copied text directly as the instruction.
    4. Connect the skill to integrations such as Gmail or Slack where needed.
    5. Save the skill and release it for yourself or your team.
    Documentation

    Implementation

    1. Have the text ready

      The meeting minutes, email or chat log is copied and prepared as input.

    2. Set up the skill

      The skill text is copied and the prepared text pasted in as input.

    3. Transfer the result

      The extracted tasks are transferred to the task tool, for example Notion, Asana or Jira.

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