본문으로 건너뛰기
cccskills
무료GitHub에 공개

agent-context-loader

Find and load AGENTS.md instruction files across a project's directory hierarchy. Combine shared and module-specific rules, report conflicting instructions and source paths, and reuse discovery results during the current agent session.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

Execute proactive auto-loading: automatically detects and loads agents.md files. Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.

실행 점수 미검증

설치 방법 보기

이럴 때 유용합니다

  • Loading project rules when starting work
  • Combining instructions across monorepo packages
  • Checking conflicting rules between directory levels
  • Finding existing agent instruction files

포함된 파일(7)

  • SKILL.md4.2 KB
  • assets/README.md526 B
  • references/errors.md391 B
  • references/examples.md8.8 KB
  • references/README.md581 B
  • scripts/check-agents-md.sh1.7 KB
  • scripts/README.md623 B

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

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

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

Add a synthetic-data CI gate for customer-owned Abridge integration code. Test consent handling, note-review handoffs, redaction, and rollback behavior with mocked vendor boundaries, without connecting CI to a live Abridge or EHR tenant.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Adding regression checks to an Abridge integration repository
  • Testing consent and note-release handling
  • Checking logs for sensitive data exposure
jeremylongshore/tons-of-skills-marketplace2.9천2026년 10월 23일 업데이트

Triage Abridge recording, note review, Epic handoff, and access problems using observed symptoms and approved guidance. Identify the affected workflow stage, organize a minimal timeline, and prepare a redacted escalation record for the responsible team.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Separate recording problems from upload failures
  • Investigate note creation delays and editor issues
  • Identify the responsible team for Epic handoff failures
jeremylongshore/tons-of-skills-marketplace2.9천2026년 10월 23일 업데이트

Map and review an Abridge clinical documentation workflow from consent and recording through draft review, evidence checks, edits, and final disposition. Keep clinician approval explicit, identify failure exits, and separate verified facts from tenant-specific details and pending approvals.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Map a clinical note workflow for a care setting
  • Check where consent and patient identity are verified
  • Review draft notes against linked evidence before sign-off
jeremylongshore/tons-of-skills-marketplace2.9천2026년 10월 23일 업데이트

Audit how clinician-reviewed Abridge note sections map into Epic templates and downstream workflows. Use approved test records to document destinations, exceptions, evidence, rollback steps, and a go or no-go decision for a specific environment.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Checking Abridge note section mappings to Epic templates
  • Auditing a department’s approved documentation handoff
  • Preparing test evidence and a go or no-go decision
jeremylongshore/tons-of-skills-marketplace2.9천2026년 10월 23일 업데이트

Review Abridge adoption and workflow value using local usage records, clinician feedback, and verified contract costs. Build an evidence based decision table covering adoption, quality, support burden, and options to expand, hold, or improve the rollout.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Reviewing adoption after an Abridge rollout
  • Preparing evidence for a renewal decision
  • Comparing workflow outcomes across care settings
jeremylongshore/tons-of-skills-marketplace2.9천2026년 10월 23일 업데이트

Prepare a bounded support bundle for an Abridge issue using allowlisted operational details such as versions, coarse timestamps, and correlation references. Exclude recordings, transcripts, patient identifiers, credentials, and unrestricted logs, then document redactions and review details.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Preparing reviewed evidence for an Abridge support case
  • Documenting redactions and excluded data
  • Collecting approved operational details for an incident
jeremylongshore/tons-of-skills-marketplace2.9천2026년 10월 23일 업데이트

jeremylongshore의 스킬 모두 보기

이 스킬의 문제 신고