By dan323
Generate or update CHANGELOG.md from git history with deduplication and categorization, and create or improve project README.md with a linked /docs directory structure including ASCII or Mermaid diagrams.
Generate or update CHANGELOG.md files by reading git history. Use this skill whenever the user wants to document what changed in their project — whether they say "create a changelog", "update the changelog", "write release notes", "what's new since v1.2", "document changes for this release", "prep the changelog before we ship", or anything else about recording or summarizing code changes for a version or release. Also use it when the user asks to reformat an existing CHANGELOG to Keep a Changelog format. Works for single repos and monorepos. Always prefer this skill over improvising — it handles deduplication, categorization, and format detection correctly.
Create or improve project documentation. Use when the user asks to "document the project", "create docs", "improve documentation", "write a README", "add a getting started guide", or mentions that documentation is missing or outdated. Produces a minimal root README.md and a /docs directory with linked pages. All diagrams use ASCII or Mermaid.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
npx claudepluginhub dan323/easier-life-skills --plugin docsProcess the top Todo card on a GitHub Project (v2) board end-to-end: pull the board into a task-agent tasks.yml, run task-agent against the top pending task to open a PR, then sync the PR back so the card moves to In Review. Bundles the `gh-project-sync` reconciler skill (used twice in the chain) and composes it with `task-agent` via the `workflow` skill — both `task-agent` and `workflow` must also be installed.
Code-quality audit bundle — find unused code, find breaking REST API changes, and audit logging quality. All three skills are read-only and produce prioritised reports.
Read tasks from a YAML file (unified or legacy two-file format), implement one per run via an agent, and open a PR
Analyze and improve a CV and LinkedIn profile (driven by the official LinkedIn data export, not live scraping) with stronger language, quantified achievements, and aligned keywords
Suggest the 5 most valuable next features or improvements for a project
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
v9.54.1 — Reliability wave: tangle contextual review correction loop with hard round ceiling, progress-supervised review rounds (per-agent stall watch, descendant-tree kills), council diversity and agy pin fixes, marketplace generator source-of-truth fix, provider troubleshooting runbook and cost-expectations docs. Run /octo:setup.
Build and maintain an LLM-curated personal knowledge base with default local FastEmbed + sqlite-vec search, BM25 fusion, structured evidence, incremental caching, and a compiled graph layer.
Connect to Atlassian products including Jira and Confluence. Search and create issues, access documentation, manage sprints, and integrate your development workflow with Atlassian's collaboration tools.
AI-powered wiki generator for code repositories. Generates comprehensive, Mermaid-rich documentation with dark-mode VitePress sites, onboarding guides, deep research, and source citations. Inspired by OpenDeepWiki and deepwiki-open.
Remove signs of AI-generated writing from text, making it sound more natural and human. Based on Wikipedia's "Signs of AI writing" guide.