Review Proposals

Review Proposals is an Automation skill for Claude Code, published by jpicklyk in task-orchestrator.

206 stars20 forkson jpicklyk/task-orchestratorAdded 2026/09/05Repository updated 2026/08/04

ai-coding-assistantai-developmentai-harnessai-memoryai-toolsclaudeclaude-codeclaude-desktopcontext-persistencedeveloper-toolsharness-engineeringharness-frameworkmcpmcp-servermodel-context-protocoltask-managementvibe-codingworkflow-automation

Install in seconds

Install Review Proposals

Copy Review Proposals into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/jpicklyk/task-orchestrator/tree/main/claude-plugins/task-orchestrator/skills/review-proposals ~/.claude/skills/review-proposals

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/jpicklyk/task-orchestrator.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: claude-plugins/task-orchestrator/skills/review-proposals/SKILL.md in jpicklyk/task-orchestrator
Installs to: ~/.claude/skills/review-proposals
Collection: One of 25 skills cataloged from this repository
Category: Automation — 1956 skills

What Review Proposals does

Review Proposals triages pending improvement-proposal MCP items, shows their scope and evidence, and records accept, reject, defer, or skip decisions. It also applies project-scoped YAML changes or files a global issue when a proposal is accepted.

Review Proposals is cataloged under Automation on DirSkills. Review Proposals comes from a repository tagged ai-coding-assistant, ai-development, ai-harness, ai-memory and ai-tools.

Documentation

README

Excerpt

Review Proposals

Triages improvement-proposal MCP items created by /session-retrospective when a cross-session trend graduates. Presents pending proposals, collects a per-proposal decision, and carries out the disposition — including applying project-scoped config changes and filing/linking GitHub issues for global changes.

Shared GitHub conventions (issue template, scrub rule, gh guard, dedup procedure) are not duplicated here — see <skill-base-dir>/../session-retrospective/references/github-feedback.md for the full C2/C4/C5 contract and dedup steps referenced throughout Step 5.

Step 0 — Parse Arguments and Read Config

Parse $ARGUMENTS:

This is the opening of the README. Read the full README on GitHub.

Commands Review Proposals provides

Slash commands named in this skill’s SKILL.md, listed in the order they first appear.

/session-retrospective
/terminal

Frequently asked about Review Proposals

What else does jpicklyk publish alongside Review Proposals?
Review Proposals is one of 25 skills that DirSkills catalogs from jpicklyk/task-orchestrator, the repository it ships in. Its siblings there include API Compatibility Review, Adopt Project Scope and Batch Complete. Each one is a separate skill with its own page in this directory, installs the same way Review Proposals does, and is maintained by jpicklyk in that same repository. The rest of the collection is listed on the jpicklyk/task-orchestrator page.
How does Review Proposals compare to other Automation skills?
Review Proposals ranks #1734 by stars among the 1956 Automation skills in this catalog. The most-starred ones next to it are Autonomous Loops, Autonomous Agent Harness and Automation Audit Ops. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Review Proposals against them. Open each page to compare what they document and how they install.