Works with the AI Agents you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+21 more

    qa ledger tracker

    2

    Turn Markdown tables into a persistent, cross-session Q&A ledger for project tracking and decision logging.

    Free

    5 uses5.0 (1 review)
    qa ledger tracker

    qa ledger tracker

    Example session with this skill installed

    Read question 14 from client_qa.md and write the answer based on the new API documentation in docs/api.md.

    • Read your context and instructions
    • Compiled the qa ledger tracker

    Reading question 14...
    Status: processing 14
    Writing answer to client_qa.md...
    Row 14 updated with timestamped response. Integrity check passed.

    Writing answer to client_qa.md

    Connects securely to your tools. The creator never sees your data.

    About this skill

    The problem

    Project context resets between sessions, causing you to answer the same client or team questions repeatedly. Native chat memory fades, and managing a separate database or heavy issue tracker is overkill for simple decision logs.

    What it does

    • Maintains a persistent Markdown-based Q&A ledger that survives session resets.
    • Updates specific rows, adds timestamps, and manages status markers directly in your project files.
    • Handles table expansion and automatic file splitting when row limits are reached.
    • Supports parallel answer staging and merging to prevent file corruption during concurrent edits.
    • Strips bloated questions into external files to keep your primary ledger readable.

    Why this beats prompting it yourself

    Manual table editing with LLMs frequently breaks Markdown formatting or overwrites existing data. This skill uses a structured command set to ensure row integrity, automated pagination, and consistent status tracking that a raw prompt cannot maintain reliably.

    Use cases

    • Consultants managing a durable "Open Items" list for client engagements.
    • Developers logging architectural decisions and their rationales in a local repo.
    • Small teams tracking project-specific Q&A without external SaaS tools.
    • Solo builders maintaining an append-only log of bug triage and resolutions.

    Designed for Markdown tables only. Does not include email notifications or external API integrations (linear/Jira) out of the box.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

    Reviews

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    1 review
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    This skill has been used 5 times.

    Trust & safety

    Security scan

    Security scan passed 3 months ago

    • Free with an Agensi account

    Permissions

    Terminal / Shell
    Listed3 months ago

    What's inside

    Frequently Asked Questions

    This skill allows your AI agent to treat a Markdown file as a durable database for project questions and decisions. It prevents 'memory loss' between sessions by systematically reading, updating, and organizing specific rows in your ledger.

    The skill leverages a structured command set specifically designed to preserve Markdown formatting. It includes features like table expansion and staging to prevent the data corruption or overwriting that often happens during raw LLM text generation.

    The 'QA Ledger Tracker' is compatible with any AI agent or platform that supports external skill integration and has access to a file system. It is specifically optimized for developers and project managers working within local repository environments.

    You receive the complete skill definition, including the command schema and operational logic required to manage tables. This also includes the pagination and external file-splitting logic to ensure your documentation remains scalable.

    The skill handles this automatically; when a ledger reaches its row limit, it initiates file splitting. This keeps your primary document readable while archiving older questions into linked external files.