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    Repair Data Serialization & Parsing Bugs

    1

    Diagnose and repair serialization, parsing, encoding, numeric/date conversion, optional fields, and representation drift across boundaries.

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    Repair Data Serialization & Parsing Bugs

    Repair Data Serialization & Parsing Bugs

    Example session with this skill installed

    The TypeScript frontend is sending ISO-8601 dates, but the Go backend fails to parse them into the struct. It seems to happen only with UTC 'Z' suffixes. Here is the Go struct and a log snippet.

    • Read your context and instructions
    • Compiled the repair data serialization

    I have analyzed the Go struct and the provided log snippet. The issue stems from using time.Time with a custom JSON unmarshaler that expects a specific space-separated format, which fails when it encounters the ISO-8601 'Z' suffix favored by the TypeScript toISOString() method.

    Data Serialization Repair

    Diagnosis

    The Go backend is using a legacy parsing pattern that does not support the RFC3339/ISO-8601 'Z' literal. While TypeScript correctly serializes the date, the Go json.Unmarshal process fails because the underlying field or custom UnmarshalJSON method lacks the flexible parsing needed for multiple ISO-8601 variants.

    Proposed Patch (Go)

    package models
    
    import (
    	"encoding/json"
    	"time"
    	"strings"
    )
    
    type Event struct {
    	ID        string    `json:"id"`
    	Timestamp DateTime  `json:"timestamp"`
    }
    
    // DateTime wraps time.Time to handle multiple ISO-8601 formats
    type DateTime struct {
    	time.Time
    }
    
    func (dt *DateTime) UnmarshalJSON(b []byte) error {
    	s := strings.Trim(string(b), "\"")
    	if s == "null" {
    		return nil
    	}
    	// Try RFC3339 (standard ISO-8601) first
    	t, err := time.Parse(time.RFC3339, s)
    	if err != nil {
    		// Fallback for legacy space-separated format if necessary
    		t, err = time.Parse("2006-01-02 15:04:05", s)
    	}
    	if err != nil {
    		return err
    	}
    	dt.Time = t
    	return nil
    }
    

    Focused Deterministic Test

    func TestDateTime_UnmarshalJSON(t *testing.T) {
    	tests := []struct {
    		input    string
    		expected string
    	}{
    		{`"2023-10-27T10:00:00Z"`, "2023-10-27 10:00:00 +0000 UTC"},
    		{`"2023-10-27 10:00:00"`, "2023-10-27 10:00:00 +0000 UTC"},
    	}
    
    	for _, tc := range tests {
    		var dt DateTime
    		if err := json.Unmarshal([]byte(tc.input), &dt); err != nil {
    			t.Errorf("Failed to unmarshal %s: %v", tc.input, err)
    		}
    		if dt.String() != tc.expected {
    			t.Errorf("Expected %s, got %s", tc.expected, dt.String())
    		}
    	}
    }
    

    Next steps

    1. Replace the time.Time fields in your Go structs with the DateTime wrapper.
    2. Run the provided unit test to confirm support for both 'Z' and space-separated formats.
    3. Verify if the frontend needs to handle specific precision (milliseconds/nanoseconds) when receiving data back from the Go API.

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    About this skill

    Repair Data Serialization & Parsing Bugs is a bounded ToolForge Labs workflow. Diagnose and repair serialization, parsing, encoding, numeric/date conversion, optional fields, and representation drift across boundaries. Works from full repositories or partial context such as snippets, logs, configuration, traces, and architecture notes. Produces concrete repairs or evidence-backed review outputs while preserving existing product/security policy.

    It works from a full repository or partial evidence such as snippets, logs, configuration, traces, tickets, and architecture notes. The skill preserves existing product and security policy, separates verified facts from assumptions, avoids invented execution claims, and produces concrete repair or 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 Agents & Orchestration.

    Requires local fixtures or mock servers for validation. Cannot access production databases or live credentials. Works best when given specific logs or schema definitions.

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    Permissions

    Terminal / Shell
    Read Files
    Write Files

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

    Listed2 months ago
    Updated9 days ago

    What's inside

    Frequently Asked Questions

    This skill automates the diagnosis and repair of complex data mismatches, such as numeric precision loss, date format inconsistencies, and schema drift that occurs when data moves between services or languages.

    The skill is highly flexible and can operate on full code repositories or limited context, including log traces, configuration files, and snippets from error tickets.

    Yes, the skill is designed to generate concrete code repairs or evidence-backed review steps while strictly adhering to your existing security policies and product constraints.

    This skill is a ToolForge Labs workflow compatible with major AI agents and IDE extensions that support custom skill integration through standard API calls.

    You receive the full ToolForge Labs workflow, including periodic updates to address new serialization standards and improved logic for detecting emerging representation drift patterns.

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