By DiversioTeam
Create and maintain structured plan directories with a master PLAN.md index, numbered task files, and required fresh-eyes validation. Includes backend-ralph-plan for RALPH loop execution.
Create a structured plan directory with Ralph Wiggum Loop integration for backend Django projects (PLAN.md, task files, and RALPH-PROMPT.md).
Create or update a structured plan directory with a PLAN.md index and numbered task files (001-*.md) containing checklists, tests, and completion criteria.
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npx claudepluginhub diversioteam/agent-skills-marketplace --plugin plan-directoryManages the full release workflow for Django4Lyfe backend - creating release PRs, version bumping, conflict resolution, GitHub releases with date-based versioning (YYYY.MM.DD), and post-release branch sync.
MixPanel analytics tracking implementation and review Skills for Django4Lyfe optimo_analytics module.
Follows Diversio backend repo-local PR workflow docs, GitHub issue linkage, safe Django migrations, and downtime-safe schema changes.
Pedantic backend pre-commit and atomic-commit Skill for Django/Optimo-style repos, enforcing local AGENTS.md, repo-local docs, pre-commit hooks, and repo-local commit hygiene with an explicit fix-retry convergence protocol.
Unified backend/frontend Dependabot remediation workflow with dependabot.yml review/scaffold, alert deduplication, wave planning, execution guardrails, and post-merge closure verification.
Create and validate production-grade agent skills with 100-point marketplace grading
Agent Skills for improving SKILL.md files: mine repeated workflows from history, personalize and audit existing skills, or generalize personal skills for publication.
Guide for structuring Netresearch skill repositories
Structured implementation planning, interactive annotation review, and autonomous plan execution
Restructure oversized SKILL.md or scattered project rules into a well-organized Skill directory, with cross-tool thin shells, SessionStart hooks, Task Closure Protocol, and self-evolving workflows.
Open collection of AI agent skills — reusable, framework-agnostic SKILL.md packages