Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
ARC Creator
Create and populate Annotated Research Contexts (ARCs) following the nfdi4plants ARC specification. Use when creating a new ARC, adding studies/assays/workflows/runs, annotating ISA metadata, organizing research data into ARC structure, or pushing ARCs to a DataHUB. Guides the user interactively through all required and optional metadata fields.
skill openclawclawhub Free
Create and populate Annotated Research Contexts (ARCs) following the nfdi4plants ARC specification. Use when creating a new ARC, adding studies/assays/workflows/runs, annotating ISA metadata, organizing research data into ARC structure, or pushing ARCs to a DataHUB. Guides the user interactively through all required and optional metadata fields.
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, references/arc-spec.md, scripts/create_arc.sh
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- IngoGiebel
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
ARC Creator
Create FAIR Digital Objects following the nfdi4plants ARC specification v3.0.0.
Prerequisites
git and git-lfs installed ARC Commander CLI at ~/bin/arc (optional but recommended) For DataHUB sync: Personal Access Token for git.nfdi4plants.org or datahub.hhu.de
Interactive ARC Creation Workflow
Guide the user through these phases in order. Ask questions conversationally โ don't dump all questions at once. Batch 2-4 related questions per message.
Phase 1: Investigation Setup
Ask the user: Investigation identifier (short, lowercase-hyphenated, e.g. cold-stress-arabidopsis) Title (concise name for the investigation) Description (textual description of the research goals) Where to store the ARC locally (suggest /home/uranus/arc-projects/<identifier>/) Then run scripts/create_arc.sh <path> <identifier> and set investigation metadata via: arc investigation update -i "<id>" --title "<title>" --description "<desc>"
Phase 2: Studies
For each study, ask: Study identifier (e.g. plant-growth) Title and description Organism (for Characteristic [Organism]) Growth conditions (temperature, light, medium, etc.) Source materials (what goes in โ seeds, cell lines, etc.) Sample materials (what comes out โ leaves, roots, extracts, etc.) Protocols โ does the user have protocol documents to include? Factors โ what experimental variables are being tested? (e.g., temperature, genotype, treatment) Create with: arc study init --studyidentifier "<id>" arc study update --studyidentifier "<id>" --title "<title>" --description "<desc>" Copy protocol files to studies/<id>/protocols/. Copy resource files to studies/<id>/resources/.
Phase 3: Assays
For each assay, ask: Assay identifier (e.g. proteomics-ms, rnaseq, sugar-measurement) Measurement type (e.g., protein expression profiling, transcription profiling, metabolite profiling) Technology type (e.g., mass spectrometry, nucleotide sequencing, plate reader) Technology platform (e.g., Illumina NovaSeq, Bruker timsTOF) Data files โ where are the raw data files? (will go into assays/<id>/dataset/) Processed data โ any processed output files? Protocols โ assay-specific protocols? Performers โ who performed this assay? (name, affiliation, role) Create with: arc assay init -a "<id>" --measurementtype "<type>" --technologytype "<tech>" Copy data to assays/<id>/dataset/, protocols to assays/<id>/protocols/.
Phase 4: Workflows (optional)
Ask if there are computational analysis steps. For each: Workflow identifier (e.g. deseq2-analysis, heatmap-generation) Description of what it does Code files (scripts, notebooks) Dependencies (Python packages, R libraries, Docker image) Place code in workflows/<id>/. Note: workflow.cwl is REQUIRED by spec but often created later. Inform user.
Phase 5: Runs (optional)
Ask if there are computation outputs. For each: Run identifier Which workflow produced it Output files (figures, tables, processed data) Place outputs in runs/<id>/.
Phase 6: Contacts & Publications
Ask: Investigation contacts (name, email, affiliation, role โ at minimum the PI) Publications (if any โ DOI, PubMed ID, title, authors) Add via: arc investigation person register --lastname "<last>" --firstname "<first>" --email "<email>" --affiliation "<aff>"
Phase 7: Git Commit & DataHUB Sync
Configure git user: git config user.name "<name>" git config user.email "<email>" Commit: git add -A git commit -m "Initial ARC: <investigation title>" Ask if the user wants to push to a DataHUB. If yes: Ask which host (git.nfdi4plants.org, datahub.hhu.de, etc.) Create remote repo (via browser or API) Set remote and push
ISA Metadata Reference
For detailed ISA-XLSX fields, annotation table columns, and ontology references, read references/arc-spec.md.
Key Reminders
Assay data is immutable โ never modify files in assays/<id>/dataset/ after initial placement Studies describe materials, assays describe measurements Workflows are code, runs are outputs Git LFS for files > 100 MB: git lfs track "*.fastq.gz" "*.bam" "*.raw" Don't store ARCs on OneDrive/Dropbox โ Git + cloud sync causes conflicts ARC Commander CLI reference: arc <subcommand> --help
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs1 Scripts
- SKILL.md
- references/arc-spec.md
- scripts/create_arc.sh