mcpField
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agent-context-loader

agent-context-loader

github.com/jeremylongshoreAgent workflows2.9k39 installsUpdated 2d ago
Repository

About agent-context-loader

A skill for coding agents that discovers and loads AGENTS.md instructions across a project hierarchy. It orders and merges the files, reports conflicts, and caches discovery results for the session.

Key features

  1. 01Scan workspace and ancestor directories
  2. 02Find instruction files in subdirectories
  3. 03Order and merge instructions by depth
  4. 04Report instruction conflicts
  5. 05Cache session discovery results

Use cases

  1. 01Load repository and module-level instructions
  2. 02Review conflicts between instruction levels
  3. 03Reuse scan results on later activations

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/jeremylongshore/tons-of-skills-marketplace --skill agent-context-loader

After installing, type/agent-context-loaderin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

assets/
README.md
references/
errors.md
examples.md
README.md
scripts/
check-agents-md.sh
README.md

Details

From the project README

Agent Context Loader

Overview

Automatic discovery and loading of AGENTS.md files across project hierarchies for AI coding agents. This skill scans the current workspace and its parent directories to locate agent instruction files, then surfaces their contents so the active agent session has full operational context.

Prerequisites

  • A project workspace containing one or more AGENTS.md files at any directory depth
  • Read and Glob permissions to traverse the directory tree
  • Grep access for searching file contents when multiple candidates exist

Instructions

  1. Scan the current working directory and all ancestor directories (up to the filesystem root or repository root) for files named AGENTS.md or agents.md.
  2. Search subdirectories of the current workspace for additional AGENTS.md files that may apply to sub-projects or modules.
  3. Determine load order: files closer to the repository root load first (global context), files in deeper directories load later (override or supplement).
  4. Read each discovered AGENTS.md file and extract its instruction blocks, workflow definitions, and constraint declarations.
  5. Merge instructions into a unified context, noting any conflicts between levels (e.g., a subdirectory agent overriding a root-level rule).
  6. Present the loaded context as a structured summary: source file path, instruction count, and any detected conflicts.
  7. Cache the discovery results for the current session to avoid redundant filesystem scans on subsequent activations.

Output

  • Ordered list of discovered AGENTS.md file paths with their directory depth
  • Merged instruction set combining all discovered agent contexts
  • Conflict report highlighting any contradictory directives between levels
  • Session cache status indicating whether results are fresh or reused

Error Handling

ErrorCauseSolution
No AGENTS.md foundWorkspace has no agent instruction filesConfirm the correct working directory; create an AGENTS.md at the project root if needed
Permission denied on directory traversalRestricted parent directories above the workspaceLimit scan depth to the repository root (detected via .git/ presence)
Circular symlink detectedSymlinked directories create an infinite traversal loopSkip symlinked directories during the scan; log a warning with the symlink path
Conflicting instructions across levelsA subdirectory AGENTS.md contradicts the root-level fileFlag the conflict in the output; apply the more specific (deeper) instruction by default
File encoding errorAGENTS.md uses a non-UTF-8 encodingAttempt latin-1 fallback; report the file path and encoding issue

Examples

Example 1: Monorepo with per-package agent instructions

  • Structure: Root AGENTS.md sets global conventions; packages/api/AGENTS.md adds API-specific tooling rules.
  • Result: Both files loaded in order. The API-specific rules supplement the global context without conflict.

Example 2: Nested workspace with conflicting commit policies

  • Structure: Root AGENTS.md says "always sign commits"; services/legacy/AGENTS.md says "skip commit signing."
  • Result: Conflict detected and reported. The deeper (legacy) directive is applied with a warning noting the override.

Example 3: First-time setup with no agent files

  • Structure: A freshly cloned repository with no AGENTS.md anywhere.
  • Result: Scan completes with zero files found. Output includes a suggestion to create AGENTS.md at the repository root with a minimal template.

Resources

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