Iterative Retrieval
affaan-m/ECC
Pattern for progressively refining context retrieval to solve the subagent context problem.
Iterative review-fix loop for the current branch — reviews via daemon, fixes inline, re-reviews until passing or max iterations reached
$ npx skills add obra/dotfiles --skill roborev-refine -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install obra/dotfiles roborev-refine --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/obra/dotfiles.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.codex/skills/roborev-refine .claude/skills/roborev-refine && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "roborev-refine" agent skill from https://github.com/obra/dotfiles/tree/main/.codex/skills/roborev-refine into .claude/skills/roborev-refine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "roborev-refine", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/obra/dotfiles/tree/main/.codex/skills/roborev-refineType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add obra/dotfiles --skill roborev-refine -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install obra/dotfiles roborev-refine --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/obra/dotfiles.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.codex/skills/roborev-refine .agents/skills/roborev-refine && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "roborev-refine" agent skill from https://github.com/obra/dotfiles/tree/main/.codex/skills/roborev-refine into .agents/skills/roborev-refine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "roborev-refine", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add obra/dotfiles --skill roborev-refine -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install obra/dotfiles roborev-refine --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/obra/dotfiles.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.codex/skills/roborev-refine .cursor/skills/roborev-refine && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "roborev-refine" agent skill from https://github.com/obra/dotfiles/tree/main/.codex/skills/roborev-refine into .cursor/skills/roborev-refine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "roborev-refine", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/obra/dotfiles.git --path .codex/skills/roborev-refine--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add obra/dotfiles --skill roborev-refine -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install obra/dotfiles roborev-refine --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/obra/dotfiles.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.codex/skills/roborev-refine .gemini/skills/roborev-refine && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "roborev-refine" agent skill from https://github.com/obra/dotfiles/tree/main/.codex/skills/roborev-refine into .gemini/skills/roborev-refine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "roborev-refine", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install obra/dotfiles roborev-refineInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add obra/dotfiles --skill roborev-refine -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/obra/dotfiles.git skills-src && mkdir -p .github/skills && cp -r skills-src/.codex/skills/roborev-refine .github/skills/roborev-refine && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "roborev-refine" agent skill from https://github.com/obra/dotfiles/tree/main/.codex/skills/roborev-refine into .github/skills/roborev-refine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "roborev-refine", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add obra/dotfiles --skill roborev-refine -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install obra/dotfiles roborev-refine --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/obra/dotfiles.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.codex/skills/roborev-refine .opencode/skills/roborev-refine && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "roborev-refine" agent skill from https://github.com/obra/dotfiles/tree/main/.codex/skills/roborev-refine into .opencode/skills/roborev-refine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "roborev-refine", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
roborev-refineIterative review-fix loop for the current branch — reviews via daemon, fixes inline, re-reviews until passing or max iterations reached
Roborev Refine is an agent skill from obra/dotfiles. Iterative review-fix loop for the current branch — reviews via daemon, fixes inline, re-reviews until passing or max iterations reached
Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit df3be56. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
goFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Roborev Refine loads about 2.2k tokens when it runs. Until then it costs about 38 tokens; SKILL.md has 1,249 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
Without a licence we can't republish the file, so here is its outline and opening line. It has 1,249 words (~2,224 tokens).
“Iterative review-fix loop: review the current branch or commit range, fix findings, commit, re-review, and repeat until all reviews pass or the iteration limit is reached.”
Just SKILL.md in .codex/skills/roborev-refine of obra/dotfiles.
Open the folder on GitHubat commit df3be56
Roborev Refine next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Roborev Refine this skillobra/dotfiles | 116 | — | ~2.2k | Automated safety check: Pass | None | |
| Iterative Retrievalaffaan-m/ECC | 275k | 7 repos | ~1.6k | Automated safety check: Pass | MIT | |
| Agent Refinementruvnet/ruflo | 74k | 2 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Branchesredis/RedisInsight | 8.9k | — | ~409 | Automated safety check: Pass | Custom licence | |
| Iterate Refinement Notesproduct-on-purpose/pm-skills | 715 | — | ~855 | Automated safety check: Pass | Apache-2.0 | |
| Conventional Branchgithub/awesome-copilot | 40k | — | ~1.1k | Automated safety check: Pass | MIT |
affaan-m/ECC
Pattern for progressively refining context retrieval to solve the subagent context problem.
ruvnet/ruflo
Agent skill for refinement - invoke with $agent-refinement. An agent skill from ruvnet/ruflo.
redis/RedisInsight
Create and name git branches following project conventions. An agent skill from redis/RedisInsight.
product-on-purpose/pm-skills
Documents backlog refinement session outcomes including stories refined, estimates, questions raised, and decisions made.
github/awesome-copilot
Create Git branches following the Conventional Branch specification (feature/, bugfix/, hotfix/, release/, chore/).
obra/superpowers
Walks the last step of a branch: confirm tests pass, detect the git environment, ask how to integrate, carry out your choice and clean up the worktree.
obra/dotfiles
A skill your agent uses when documentation needs creating, checking, or maintaining — docs may have drifted from code, pre-release doc verification, updating docs after finishing code work, adding…
obra/dotfiles
Allows you to view the user's screen as well as several hours of history.
obra/dotfiles
A skill your agent uses when verifying a running application end-to-end through its real interface — a web UI, a CLI, or a TUI — by writing and executing agent-run "scenario cards" against a freshly…
obra/dotfiles
A skill your agent uses when the user asks to fix open failing reviews, invokes $roborev-fix, or provides job IDs; do not use when the user only pastes review findings with no request to discover or…
obra/dotfiles
A skill your agent uses when reading or writing files in an Obsidian vault that is synced with obsync.
obra/dotfiles
Use MCP servers on-demand via the mcp CLI tool - discover tools, resources, and prompts without polluting context with pre-loaded MCP integrations
Iterative review-fix loop for the current branch — reviews via daemon, fixes inline, re-reviews until passing or max iterations reached. Roborev Refine is an agent skill from obra/dotfiles.
Run `npx skills add obra/dotfiles --skill roborev-refine -a claude-code`. Or copy the skill folder (.codex/skills/roborev-refine in obra/dotfiles) into .claude/skills/roborev-refine in your project. Claude Code loads it when a task matches its description.
Run `npx skills add obra/dotfiles --skill roborev-refine -a codex`. Or copy the skill folder (.codex/skills/roborev-refine in obra/dotfiles) into .agents/skills/roborev-refine in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add obra/dotfiles --skill roborev-refine -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/roborev-refine, .gemini/skills/roborev-refine, .github/skills/roborev-refine and .opencode/skills/roborev-refine in your project.
Going by SKILL.md and its folder, Roborev Refine needs the command-line tools its instructions call (go).
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
No licence was found for Roborev Refine or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 2.2k tokens (SKILL.md is roughly 8.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Roborev Refine: Iterative Retrieval (affaan-m/ECC, 275k stars), Agent Refinement (ruvnet/ruflo, 74k stars), Branches (redis/RedisInsight, 8.9k stars) and Iterate Refinement Notes (product-on-purpose/pm-skills, 715 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
obra (a GitHub user) maintains it in obra/dotfiles, which has 116 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on August 11, 2026.
Source: obra/dotfiles on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.