Contribute Skills Via PR

Contribute Skills via PR

Purpose

This skill encodes the complete workflow for contributing a new skill to the NeuroAIHub/awesome_cognitive_and_neuroscience_skills repository via GitHub Pull Request. It covers SKILL.md format requirements, quality rules enforced by maintainers, the PR submission process, and the no-Git alternative.

When to Use This Skill

Activate when the user:

• Wants to contribute a skill to the NeuroAIHub community repository
• Asks how to submit a PR to awesome_cognitive_and_neuroscience_skills
• Wants to know the SKILL.md format or quality requirements for this repository
• Asks about the review process or PR checklist for this repo

Research Planning Protocol

1. State the contribution goal — What domain knowledge does the new skill encode? Is it a new skill, an improvement, or a verification?
2. Check for overlap — Confirm the skill does not duplicate an existing one (see overlap checklist below).
3. Declare the skill structure — Outline the sections and key parameters before writing.
4. Note quality constraints — All numerical parameters need citations; no page numbers; under 500 lines.
5. Present the plan and WAIT for user confirmation before writing the SKILL.md.

Verification Notice

This skill was generated by AI from direct inspection of the NeuroAIHub/awesome_cognitive_and_neuroscience_skills repository (April 2026). Repository requirements may change — always check the current CONTRIBUTING.md before submitting. If you find errors, please open an issue.

Step 1: Check for Overlap

Before writing, verify your skill does not duplicate an existing one. Current skills include (41 total):

eeg-preprocessing-pipeline-guide, erp-analysis, mne-python-guide, fmri-preprocessing-pipeline-guide, fmri-glm-analysis-guide, fmri-task-design-guide, brain-connectivity-modeler, neural-decoding-analysis, neural-population-analysis-guide, calcium-imaging-analysis-guide, lesion-symptom-mapping-guide, optogenetics-protocol-designer, spiking-network-model-builder, drift-diffusion-model, bayesian-cognitive-model-builder, act-r-model-builder, evidence-accumulation-selector, parameter-recovery-checker, signal-detection-analysis, cogsci-statistics, cogsci-power-analysis, cogsci-visualization, neuroimaging-power-guide, neuroimaging-sample-size-calculator, cognitive-paradigm-design, eeg-paradigm-designer, divergent-thinking-scoring, alternative-uses-task-designer, creativity-self-efficacy-mediation, reading-time-analysis, self-paced-reading-designer, sentence-stimulus-norming, infant-looking-time-designer, tom-task-selector, neuropsych-battery-selector, visual-search-array-generator, research-literacy, paper-to-skill, contribute-skill, verify-skill, share-case

Step 2: Write the SKILL.md

Required YAML Frontmatter

Skill name may only contain lowercase letters, numbers, and hyphens. The name must match the folder name.

---
name: "my-skill-name"
description: "One-sentence summary of the domain knowledge encoded"
domain: "your-domain"
version: "1.0.0"
authors:
  - "Your Name"
papers:
  - "Author et al., Year"
dependencies:
  required:
    - research-literacy
review_status: "ai-generated"
---

Mandatory fields: name, description, review_status. All others are recommended.

Required Sections (in this order)

1. Purpose — What domain knowledge this skill encodes and why it is useful
2. When to Use — Trigger conditions that activate this skill
3. Research Planning Protocol — The standard 5-step preamble (copy template below)
4. Verification Notice — The standard AI disclaimer (copy template below)
5. Domain-specific content — The actual skill logic with cited parameters