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Updated 4mo ago

by stellarlinkco

skills

Agent skills for long-running execution, high-recall code review, and measurable self-improvement loops.

Works with
  • Claude
  • Codex

27 GitHub stars (27)

Steady at 27 stars — no new stars in the 16 days since Sep 30.

  • 3 skills (3 skills found in its SKILL.md files)
  • 0 forks (0 forks)
  • 4mo ago last update (Last updated 4mo ago)

Install

Skills CLI

npx skills add stellarlinkco/skills

Asks which skills and agents to install. Just one: npx skills add stellarlinkco/skills --skill code-review — add -g for every project.

Claude Code

git clone https://github.com/stellarlinkco/skillscp -r "skills/skills/code-review" ~/.claude/skills/

Copies the code-review skill into ~/.claude/skills/ for every project (use .claude/skills/ for one project). Repeat for the other skills listed below.

Plugin

/plugin marketplace add stellarlinkco/skills

Run inside Claude Code if the repository ships a plugin marketplace, then pick plugins from /plugin.

Skills can run code on your machine — read the SKILL.md first.

What it does

In the author's own words, from each skill's SKILL.md.

  • code-review

    Review code changes with a max-grade, recall-oriented pipeline. Use when the user wants to: - Review a pull request, branch diff, or local working-tree diff - Find correctness, security, contract, concurrency, or performance bugs - Surface reuse, simplification, efficiency, altitude, or convention issues introduced by a change - Get a structured JSON summary of actionable findings

    skills/code-review/SKILL.md on GitHub (opens in a new tab)
  • harness

    This skill should be used for multi-session autonomous agent work requiring progress checkpointing, failure recovery, and task dependency management. Triggers on '/harness' command, or when a task involves many subtasks needing progress persistence, sleep/resume cycles across context windows, recovery from mid-task failures with partial state, or distributed work across multiple agent sessions. S…

    skills/harness/SKILL.md on GitHub (opens in a new tab)
  • self-evolution

    Iteratively evolve any measurable artifact (prompt, skill, code, idea, configuration, document, benchmarked experiment) through autonomous mutation-evaluate-gate loops. Supports both GT case suites and autoresearch-style scalar metric loops where a fixed command prints one score. Uses 8-phase iteration, 3-layer evaluation, deterministic keep/discard gates, trace-driven diagnosis, and layered muta…

    skills/self-evolution/SKILL.md on GitHub (opens in a new tab)

Review before you install

A skill is a set of instructions and scripts your agent will follow, and it can run code on your machine. Read the SKILL.md and any scripts first — this listing is not a security review.