ai context pack compiler

    1

    Compiles messy, contradictory instructions into compact, hierarchy-preserving agent context packs.

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    Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+20 more

    ai context pack compiler

    Example session with this skill installed

    Compile a context pack from my CLAUDE.md which says 'Always use TypeScript', but my notes.txt says 'Use vanilla JS for prototypes' and 'Never use semicolons'. Prototypes are the current focus.

    • Read your context and instructions
    • Compiled the ai context compiler
    • Generated the document

    I have processed your CLAUDE.md and notes.txt. I resolved the language contradiction by prioritizing the "prototype" scope defined in your notes, which overrides the general TypeScript requirement.

    Context Pack v1

    Goals

    • [GOAL-01] Develop prototype using vanilla JavaScript.

    Invariants

    • [INV-01] Never use semicolons in any JavaScript files.
    • [INV-02] Code must be executable in a standard Node.js environment.

    Variables

    • [VAR-01] scope = prototype (required, default: prototype)
    • [VAR-02] language = vanilla JavaScript (required)

    Priorities

    1. [PRIO-01] Use [VAR-02] over TypeScript when [VAR-01] is active.

    Workflow

    Stage 1: Scaffolding
    • input: [VAR-01], [VAR-02]
    • steps: Initialize project without TypeScript configuration.
    • output: package.json and index.js

    Output Format

    • Format: Plain JavaScript
    • Prohibited: TypeScript transpilation steps, semicolons.

    Validation Report

    • Compression: 450 chars → 180 chars (60% reduction)
    • Contradictions: 1 resolved (Scope-specific JS over general TS), 0 unresolved
    • Completeness: pass
    • Hierarchy: pass
    • Faithfulness: yes — Correctly prioritized the specific "prototype" constraint over general project rules.

    Next steps

    1. Copy the "Context Pack v1" content into your agent's system instructions.
    2. Verify if any additional environment variables are needed for the prototype.
    3. Run a linter check to ensure the no-semicolon invariant is enforced.

    ai-context-pack-compiler.pdf

    PDF · document

    Generated

    Example file from a real run - the skill writes it into your workspace.

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

    What you get

    Merge contradictory instruction files into a single source of truth.Reduce token usage by stripping noise and deduplicating prompts.Enforce hard invariants that agents frequently ignore in verbose text.Standardize context for multi-agent orchestration pipelines.

    About this skill

    The problem

    Large instruction files, conflicting CLAUDE.md notes, and verbose prompts lead to agents ignoring hard constraints or hallucinating requirements. As project context grows, agents struggle to prioritize contradictory rules buried in deep prose.

    What it does

    • Extracts goals, invariants, variables, and dependencies from raw markdown or URL dumps.
    • Deduplicates instructions with over 80% semantic overlap to reduce token waste.
    • Resolves logic contradictions by prioritizing specific conditions over general rules.
    • Reorders instructions into a deterministic hierarchy, placing dependencies and invariants first.
    • Generates a machine-parseable Context Pack with a built-in validation report.

    Why this beats prompting it yourself

    Manual prompt compression often accidentally strips edge-case constraints that seem redundant but are critical for execution. This skill uses a formal classification procedure to ensure every invariant is preserved while achieving 40-85% character reduction.

    Use cases

    • Consolidating overlapping SOUL.md, CLAUDE.md, and README instructions into one system prompt.
    • Creating a deterministic context file for a multi-agent pipeline.
    • Refactoring a prompt that an agent is currently failing to follow consistently.
    • Auditing complex workflows for unresolved logic contradictions before deployment.

    Known limitations

    Requires input to contain at least one imperative sentence. It will not generate new goals or creative content not implied by the source text.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

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    2. 2

      Unzip into your skills folder

      Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.

    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

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    Listed10 days ago

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