Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/jmagly/aiwg --skill research-archive명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
WCAG accessibility analysis for color palettes including contrast ratios, compliance checking, and remediation suggestions. Use when user needs to verify colors meet accessibility standards.
Generate, analyze, compare, export, and suggest color palettes using color theory. Use when user asks about colors, palettes, color schemes, or needs help choosing colors for a project.
Research current color trends from Pantone, architecture, film, and design. Use when user asks about trending colors, popular palettes, or wants research-backed color inspiration.
SOC 직업 분류 기준
SKILL.md 표시 중
| namespace | aiwg |
| name | research-archive |
| platforms | ["all"] |
| description | Package research artifacts for long-term archival |
| commandHint | {"argumentHint":"[REF-XXX or --all] [--format bagit|zip|tar] [--verify]","category":"research-archival"} |
Package research artifacts for long-term preservation following archival best practices.
When invoked, create archival packages:
Identify Artifacts
Validate Integrity
Create Archive Package
Generate Archival Metadata
Verify Package
Store and Register
.aiwg/research/archives/[ref-id or --all] - Specific paper or entire corpus (required)--format [bagit|zip|tar] - Archive format (default: bagit)--output [path] - Custom output location (default: .aiwg/research/archives/)--verify - Perform integrity verification after creation--compression [none|gzip|bzip2] - Compression level (default: gzip)--include-notes - Include literature notes in package--metadata-only - Create metadata package without PDFsBagIt is the Library of Congress standard for digital preservation:
REF-022-archive/
├── bagit.txt # BagIt declaration
├── bag-info.txt # Package metadata
├── manifest-sha256.txt # Checksums for data files
├── tagmanifest-sha256.txt # Checksums for tag files
└── data/
├── REF-022.pdf # Source paper
├── REF-022-autogen.md # Finding document
├── metadata.yaml # Extracted metadata
├── provenance.yaml # Provenance records
└── quality-assessment.yaml # GRADE assessment
# Archive single paper in BagIt format
/research-archive REF-022
# Archive with verification
/research-archive REF-022 --verify
# Archive entire corpus
/research-archive --all --format bagit
# Archive with custom output
/research-archive REF-022 --output /backup/research-archives/
# Create metadata-only archive for sharing
/research-archive REF-022 --metadata-only --format zip
# Archive multiple papers
/research-archive REF-001 REF-013 REF-022 --format tar
Creating Archive: REF-022
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Step 1: Collecting artifacts
✓ Source PDF: .aiwg/research/sources/REF-022.pdf (2.4 MB)
✓ Finding: .aiwg/research/findings/REF-022-autogen.md (12 KB)
✓ Metadata: Extracted from frontmatter
✓ Provenance: .aiwg/research/provenance/records/REF-022-acquisition.yaml
✓ Quality: .aiwg/research/quality-assessments/REF-022-assessment.yaml
✓ Literature notes: .aiwg/research/literature-notes/REF-022-notes.md
Step 2: Validating integrity
✓ PDF checksum verified: a1b2c3d4e5f6...
✓ All files present and intact
✓ Metadata complete
✓ Provenance chain validated
Step 3: Creating BagIt package
✓ BagIt structure created
✓ Files copied to data/ directory
✓ SHA-256 checksums generated
✓ bag-info.txt created with metadata
✓ Package size: 2.5 MB
Step 4: Generating archival metadata
✓ Dublin Core record created
✓ PREMIS preservation metadata added
✓ Inventory generated: 6 files
Step 5: Verifying package
✓ BagIt validation passed
✓ All checksums verified
✓ Package structure correct
✓ Test extraction successful
Step 6: Registering archive
✓ Saved to: .aiwg/research/archives/REF-022-archive-20260203.bag
✓ Registered in archival index
✓ Archival report generated
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Archive created successfully!
Package: .aiwg/research/archives/REF-022-archive-20260203.bag
Format: BagIt (Library of Congress standard)
Size: 2.5 MB
Files: 6
Contents:
- REF-022.pdf (source paper)
- REF-022-autogen.md (finding document)
- metadata.yaml (frontmatter + enrichment)
- provenance.yaml (acquisition + documentation history)
- quality-assessment.yaml (GRADE assessment)
- literature-notes.md (synthesis notes)
Verification: PASSED
Retrieval Instructions:
1. Extract: bagit.py --validate REF-022-archive-20260203.bag
2. Restore to corpus: /research-restore REF-022-archive-20260203.bag
Archive Report: .aiwg/research/archives/REF-022-archive-20260203-report.md
Each archive includes comprehensive metadata:
# bag-info.txt (BagIt metadata)
Source-Organization: AIWG Research Corpus
Organization-Address: https://github.com/jmagly/aiwg
Contact-Name: AIWG Archival Agent
Contact-Email: research@aiwg.io
External-Description: Research paper archive for REF-022 (AutoGen)
Bagging-Date: 2026-02-03
Bag-Size: 2.5 MB
Payload-Oxum: 2621440.6
External-Identifier: REF-022
Internal-Sender-Identifier: ai-writing-guide/research-corpus
Internal-Sender-Description: AIWG Research Framework
# Dublin Core metadata
dc:title: AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
dc:creator: Wu, Qingyun; Bansal, Gagan; Zhang, Jieyu; et al.
dc:date:
All archives are tracked in .aiwg/research/archives/archive-index.yaml:
archives:
- archive_id: REF-022-archive-20260203
ref_id: REF-022
created_at: "2026-02-03T14:30:00Z"
format: bagit
size_bytes: 2621440
file_count: 6
checksum: "sha256:xyz789..."
location: ".aiwg/research/archives/REF-022-archive-20260203.bag"
verified: true
last_verified: "2026-02-03T14:30:15Z"
Archive entire corpus:
/research-archive --all
Output:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Archiving Entire Research Corpus
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Found 47 papers in corpus
Progress: [████████████████████] 47/47 (100%)
Summary:
✓ 47 papers archived
✓ Total size: 142.8 MB
✓ All packages verified
✓ Archival index updated
Archive Bundle: .aiwg/research/archives/corpus-archive-20260203.tar.gz
Manifest: .aiwg/research/archives/corpus-manifest-20260203.yaml
Individual Archives:
REF-001-archive-20260203.bag
REF-002-archive-20260203.bag
...
REF-047-archive-20260203.bag
Archived packages can be restored using /research-restore:
/research-restore REF-022-archive-20260203.bag
Archives follow best practices from:
All archives undergo validation: