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    ai agent skill discovery matching

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    Rigorous, evidence-based matching of AI agent skills to tasks based on intent, capabilities, and hard constraints.

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    ai agent skill discovery matching

    ai agent skill discovery matching

    Example session with this skill installed

    Evaluate 'sql-optimizer-skill' against a task to optimize Postgres queries in a Node.js 20 environment. Ensure it supports JSONB indexing and requires no external API access for security.

    • Read your context and instructions
    • Compiled the ai agent discovery

    I have analyzed the sql-optimizer-skill against your specific technical requirements for the Postgres optimization task.

    Skill Match

    Task

    Optimize PostgreSQL queries in a Node.js 20 environment with JSONB support and zero external API access.

    Requirements
    • PostgreSQL Query Optimization: Required
    • Node.js 20 Runtime Compatibility: Required
    • JSONB Indexing Support: Required
    • Zero External API Access: Hard Constraint (Security)
    Candidate Analysis
    sql-optimizer-skill
    • Match: Partial Match
    • Capability Fit: Directly supports SQL query plan analysis and indexing strategies for standard Postgres types.
    • Constraint Fit: Operates locally via standard library calls; meets the zero external API access requirement.
    • Gaps: Metadata does not explicitly confirm support for JSONB-specific indexing (e.g., GIN/GiST).

    Conflicts: Declared compatibility is for Node.js 16+; while likely compatible with 20, it is not explicitly verified for the v20 runtime features.

    • Evidence: Documentation confirms local processing and general Postgres support but is silent on JSONB.
    RequirementCandidate CapabilityEvidenceStatus
    Postgres OptimizationSQL Plan AnalysisDoc Section 2.1Match
    Node.js 20Node.js 16+ SupportPackage MetadataPartial
    JSONB IndexingGeneral IndexingUnknownUnknown
    No API AccessLocal ExecutionArchitecture DiagramMatch
    Match Rationale

    The skill is a strong candidate for general SQL optimization and satisfies the critical security constraint of local execution. However, it is classified as a Partial Match because JSONB support—a specific requirement for your task—cannot be verified from the current metadata.

    Limitations

    Information regarding GIN index support for JSONB is

    UNKNOWN. Compatibility with Node.js 20 is

    INFERRED from the 16+ version requirement.

    Next Action
    1. Inspect the skill's indexing.js file to verify GIN index logic.
    2. Run a local test in a Node.js 20 container to confirm runtime stability.

    Next steps

    • Check the source code for JSONB-specific keywords.
    • Confirm if specific Node.js 20 globals are required by the skill logic.

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

    About this skill

    The problem

    Keyword matching for agent skills is unreliable. Developers often end up with tools that fail due to hidden dependency mismatches, runtime conflicts, or missing capabilities that were only discovered at execution time.

    What it does

    • Decomposes user requests into explicit, weighted capability requirements and hard constraints.
    • Builds a structured requirement model including objective, inputs, outputs, and environment needs.
    • Performs evidence-based mapping to identify Direct, Partial, and Indirect matches between tasks and skills.
    • Detects capability gaps and runtime conflicts before you attempt to deploy the skill.
    • Produces a match rationale that distinguishes between verified facts and inferences.

    Why this beats prompting it yourself

    Generic prompts rely on superficial similarity, often leading to hallucinated capabilities or ignored constraints. This skill enforces a strict evidence hierarchy and logic gate system to ensure that a match is technically viable, not just semantically related.

    Use cases

    • Audit a repository of custom agent skills to find the best fit for a complex orchestration pipeline.
    • Validate if a specific third-party tool meets all security and runtime constraints of your environment.
    • Identify specific capability gaps in your agent library that require new skill development.
    • Compare multiple candidate skills against a single task objective using a standardized evidence table.

    Known limitations

    Cannot verify skill availability or runtime status for sources not accessible to the current environment. Discovery depends entirely on provided or accessible metadata.

    How to use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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    Fresh listing

    Recently published to Agensi

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    Trust & safety

    Security scanned

    Verified clean 27 days ago

    • Passed all security checks, Safe to install

    Listed27 days ago
    Updated2 days ago

    What's inside

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