Agent skill

sharing-skills

Use when you've developed a broadly useful skill and want to contribute it upstream via pull request - guides process of branching, committing, pushing, and creating PR to contribute skills back to upstream repository

Stars 32
Forks 9

Install this agent skill to your Project

npx add-skill https://github.com/lifangda/claude-plugins/tree/main/cli-tool/skills-library/collaboration/sharing-skills

SKILL.md

Sharing Skills

Overview

Contribute skills from your local branch back to the upstream repository.

Workflow: Branch → Edit/Create skill → Commit → Push → PR

When to Share

Share when:

  • Skill applies broadly (not project-specific)
  • Pattern/technique others would benefit from
  • Well-tested and documented
  • Follows writing-skills guidelines

Keep personal when:

  • Project-specific or organization-specific
  • Experimental or unstable
  • Contains sensitive information
  • Too narrow/niche for general use

Prerequisites

  • gh CLI installed and authenticated
  • Working directory is ~/.config/superpowers/skills/ (your local clone)
  • REQUIRED: Skill has been tested using writing-skills TDD process

Sharing Workflow

1. Ensure You're on Main and Synced

bash
cd ~/.config/superpowers/skills/
git checkout main
git pull upstream main
git push origin main  # Push to your fork

2. Create Feature Branch

bash
# Branch name: add-skillname-skill
skill_name="your-skill-name"
git checkout -b "add-${skill_name}-skill"

3. Create or Edit Skill

bash
# Work on your skill in skills/
# Create new skill or edit existing one
# Skill should be in skills/category/skill-name/SKILL.md

4. Commit Changes

bash
# Add and commit
git add skills/your-skill-name/
git commit -m "Add ${skill_name} skill

$(cat <<'EOF'
Brief description of what this skill does and why it's useful.

Tested with: [describe testing approach]
EOF
)"

5. Push to Your Fork

bash
git push -u origin "add-${skill_name}-skill"

6. Create Pull Request

bash
# Create PR to upstream using gh CLI
gh pr create \
  --repo upstream-org/upstream-repo \
  --title "Add ${skill_name} skill" \
  --body "$(cat <<'EOF'
## Summary
Brief description of the skill and what problem it solves.

## Testing
Describe how you tested this skill (pressure scenarios, baseline tests, etc.).

## Context
Any additional context about why this skill is needed and how it should be used.
EOF
)"

Complete Example

Here's a complete example of sharing a skill called "async-patterns":

bash
# 1. Sync with upstream
cd ~/.config/superpowers/skills/
git checkout main
git pull upstream main
git push origin main

# 2. Create branch
git checkout -b "add-async-patterns-skill"

# 3. Create/edit the skill
# (Work on skills/async-patterns/SKILL.md)

# 4. Commit
git add skills/async-patterns/
git commit -m "Add async-patterns skill

Patterns for handling asynchronous operations in tests and application code.

Tested with: Multiple pressure scenarios testing agent compliance."

# 5. Push
git push -u origin "add-async-patterns-skill"

# 6. Create PR
gh pr create \
  --repo upstream-org/upstream-repo \
  --title "Add async-patterns skill" \
  --body "## Summary
Patterns for handling asynchronous operations correctly in tests and application code.

## Testing
Tested with multiple application scenarios. Agents successfully apply patterns to new code.

## Context
Addresses common async pitfalls like race conditions, improper error handling, and timing issues."

After PR is Merged

Once your PR is merged:

  1. Sync your local main branch:
bash
cd ~/.config/superpowers/skills/
git checkout main
git pull upstream main
git push origin main
  1. Delete the feature branch:
bash
git branch -d "add-${skill_name}-skill"
git push origin --delete "add-${skill_name}-skill"

Troubleshooting

"gh: command not found"

"Permission denied (publickey)"

"Skill already exists"

  • You're creating a modified version
  • Consider different skill name or coordinate with the skill's maintainer

PR merge conflicts

  • Rebase on latest upstream: git fetch upstream && git rebase upstream/main
  • Resolve conflicts
  • Force push: git push -f origin your-branch

Multi-Skill Contributions

Do NOT batch multiple skills in one PR.

Each skill should:

  • Have its own feature branch
  • Have its own PR
  • Be independently reviewable

Why? Individual skills can be reviewed, iterated, and merged independently.

Related Skills

  • writing-skills - REQUIRED: How to create well-tested skills before sharing

Expand your agent's capabilities with these related and highly-rated skills.

lifangda/claude-plugins

metabolomics-workbench-database

Access NIH Metabolomics Workbench via REST API (4,200+ studies). Query metabolites, RefMet nomenclature, MS/NMR data, m/z searches, study metadata, for metabolomics and biomarker discovery.

32 9
Explore
lifangda/claude-plugins

zinc-database

Access ZINC (230M+ purchasable compounds). Search by ZINC ID/SMILES, similarity searches, 3D-ready structures for docking, analog discovery, for virtual screening and drug discovery.

32 9
Explore
lifangda/claude-plugins

drugbank-database

Access and analyze comprehensive drug information from the DrugBank database including drug properties, interactions, targets, pathways, chemical structures, and pharmacology data. This skill should be used when working with pharmaceutical data, drug discovery research, pharmacology studies, drug-drug interaction analysis, target identification, chemical similarity searches, ADMET predictions, or any task requiring detailed drug and drug target information from DrugBank.

32 9
Explore
lifangda/claude-plugins

pubmed-database

Direct REST API access to PubMed. Advanced Boolean/MeSH queries, E-utilities API, batch processing, citation management. For Python workflows, prefer biopython (Bio.Entrez). Use this for direct HTTP/REST work or custom API implementations.

32 9
Explore
lifangda/claude-plugins

reactome-database

Query Reactome REST API for pathway analysis, enrichment, gene-pathway mapping, disease pathways, molecular interactions, expression analysis, for systems biology studies.

32 9
Explore
lifangda/claude-plugins

alphafold-database

Access AlphaFold's 200M+ AI-predicted protein structures. Retrieve structures by UniProt ID, download PDB/mmCIF files, analyze confidence metrics (pLDDT, PAE), for drug discovery and structural biology.

32 9
Explore

Didn't find tool you were looking for?

Be as detailed as possible for better results