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    Repair Search Query, Ranking & Result Integrity Bugs

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    Repair Search Query, Ranking & Result Integrity Bugs is a bounded ToolForge Labs workflow.

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    Repair Search Query, Ranking & Result Integrity Bugs

    Repair Search Query, Ranking & Result Integrity Bugs

    Example session with this skill installed

    A marketplace search sometimes shows duplicate products, changes order between page 1 and page 2, and can rank an item highly even when one selected filter should exclude it. Repair query/ranking integrity without hard-coding specific search terms.

    • Read your context and instructions
    • Compiled the repair search query

    The likely issue is a contract mismatch around search query parsing, filters, facets, ranking, sort stability, permissions, pagination, relevance signals, tie-breaking, empty queries, stale candidates, duplicate results, and result explainability. I would first define the invariant: Search results must be drawn only from the authorized eligible corpus and ordered by one explicit query/ranking contract that remains stable across filters, pagination, retries, and tie cases. Then I would trace the smallest owning boundary, keep VERIFIED facts separate from LIKELY/UNKNOWN state, apply or propose the narrowest repair, and add deterministic normal, boundary, failure, retry/cancellation, and recovery tests. The workflow preserves authorization, privacy, security policy, public interfaces, user-visible behavior, and documented ownership. With repository/workspace access, findings can map to exact paths and focused local validation; with partial evidence, the result remains an explicit diagnosis/evidence map with no invented execution claims.

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

    About this skill

    Repair Search Query, Ranking & Result Integrity Bugs is a bounded ToolForge Labs workflow. Diagnose and repair search query parsing, filters, facets, ranking, sort stability, permissions, pagination, relevance signals, tie-breaking, empty queries, stale candidates, duplicate results, and result explainability. Works from repositories/workspaces or partial evidence. Produces bounded fixes and deterministic validation while preserving authorization, security, public interfaces, user-visible behavior, and documented ownership and avoiding invented execution claims. It works from a full repository/workspace or partial evidence such as snippets, logs, configuration, traces, documents, tickets, and architecture notes. The skill separates verified facts from assumptions, avoids invented execution claims, and produces concrete repair/review steps with focused deterministic validation or traceable evidence.

    Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse Claude Skills for APIs & Backend.

    Requires repository access or detailed logs/snippets to be effective. Cannot access live production databases or sensitive customer data directly.

    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

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    3. 3

      Ask for what you need

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

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    Permissions

    Terminal / Shell
    Read Files
    Write Files

    Use a clean branch or controlled review workspace. Supply repository/workspace files, logs, traces, configuration, documents, or evidence needed for the task. Review patches/findings before merge or operational action; keep production credentials and destructive production actions out of the workflow.

    Listed1 month ago
    Updated8 days ago

    What's inside

    Frequently Asked Questions

    This skill identifies and fixes complex search issues such as ranking instability, incorrect facet filtering, pagination gaps, and relevance signal decay. It ensures your search engine delivers accurate, high-integrity results while maintaining strict security and authorization protocols.

    The skill is highly flexible and can work with a complete repository, a local workspace, or partial evidence like log files, configuration snippets, and architecture notes. This allows it to diagnose issues even when full source code access is restricted or unavailable.

    It is compatible with major backend search technologies including Elasticsearch, OpenSearch, and standard SQL-based search implementations. As part of the ToolForge Labs ecosystem, it integrates seamlessly with AI agents capable of codebase analysis and API interaction.

    Every repair includes concrete, bounded code changes and deterministic validation steps to ensure the fix works as intended. The process is designed to preserve your existing public interfaces and documented ownership without introducing unauthorized side effects.

    You receive the full ToolForge Labs workflow designed for search integrity, including logic for separating verified facts from assumptions during diagnosis. The purchase includes the core skill logic and updates to ensure compatibility with evolving search engine standards.

    New in APIs & Backend