Executing Plans Inline
obra/superpowers
Has the agent carry out an implementation plan itself, task by task in the current session, keeping a ledger, proving each step with a test and ending with one whole-branch review.
Acquires missing code repositories for the selected idea (Phase A) and conducts comprehensive code survey mapping academic concepts to implementations (Phase B).
$ npx skills add OpenLAIR/dr-claw --skill inno-code-survey -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install OpenLAIR/dr-claw inno-code-survey --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/OpenLAIR/dr-claw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/inno-code-survey .claude/skills/inno-code-survey && 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 "inno-code-survey" agent skill from https://github.com/OpenLAIR/dr-claw/tree/main/skills/inno-code-survey into .claude/skills/inno-code-survey/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "inno-code-survey", 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/OpenLAIR/dr-claw/tree/main/skills/inno-code-surveyType 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 OpenLAIR/dr-claw --skill inno-code-survey -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install OpenLAIR/dr-claw inno-code-survey --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenLAIR/dr-claw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/inno-code-survey .agents/skills/inno-code-survey && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "inno-code-survey" agent skill from https://github.com/OpenLAIR/dr-claw/tree/main/skills/inno-code-survey into .agents/skills/inno-code-survey/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "inno-code-survey", 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 OpenLAIR/dr-claw --skill inno-code-survey -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install OpenLAIR/dr-claw inno-code-survey --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenLAIR/dr-claw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/inno-code-survey .cursor/skills/inno-code-survey && 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 "inno-code-survey" agent skill from https://github.com/OpenLAIR/dr-claw/tree/main/skills/inno-code-survey into .cursor/skills/inno-code-survey/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "inno-code-survey", 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/OpenLAIR/dr-claw.git --path skills/inno-code-survey--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 OpenLAIR/dr-claw --skill inno-code-survey -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install OpenLAIR/dr-claw inno-code-survey --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenLAIR/dr-claw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/inno-code-survey .gemini/skills/inno-code-survey && 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 "inno-code-survey" agent skill from https://github.com/OpenLAIR/dr-claw/tree/main/skills/inno-code-survey into .gemini/skills/inno-code-survey/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "inno-code-survey", 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 OpenLAIR/dr-claw inno-code-surveyInstalls 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 OpenLAIR/dr-claw --skill inno-code-survey -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/OpenLAIR/dr-claw.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/inno-code-survey .github/skills/inno-code-survey && 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 "inno-code-survey" agent skill from https://github.com/OpenLAIR/dr-claw/tree/main/skills/inno-code-survey into .github/skills/inno-code-survey/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "inno-code-survey", 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 OpenLAIR/dr-claw --skill inno-code-survey -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install OpenLAIR/dr-claw inno-code-survey --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenLAIR/dr-claw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/inno-code-survey .opencode/skills/inno-code-survey && 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 "inno-code-survey" agent skill from https://github.com/OpenLAIR/dr-claw/tree/main/skills/inno-code-survey into .opencode/skills/inno-code-survey/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "inno-code-survey", 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.
inno-code-surveyAcquires missing code repositories for the selected idea (Phase A) and conducts comprehensive code survey mapping academic concepts to implementations (Phase B).
Inno Code Survey is an agent skill from OpenLAIR/dr-claw. Acquires missing code repositories for the selected idea (Phase A) and conducts comprehensive code survey mapping academic concepts to implementations (Phase B). Outputs acquiredcoderepos, updatedprepareres, and modelsurvey for downstream use by inno-implementation-plan.
Its SKILL.md is about 3.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts and reference files (for example `prompts/build_code_survey_query.md`, `prompts/build_repo_acquisition_query.md` and `references/code_survey_agent.md`).
It sits in Agent Workflows, covering Planning. The repository describes itself as: A Super AI Lab with massive AI Doctors as Assistants. Best IDE for Research via AI Power.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit d51b64e. 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.
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythongitcurlrgFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
api.github.comFrom 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.
Inno Code Survey loads about 3.1k tokens when it runs, and up to ~5.7k if it reads all its reference files. Until then it costs about 73 tokens; SKILL.md has 831 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); the scripts in this folder are not scanned.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 831 words (~3,059 tokens).
“Merges _acquire_missing_repos, _update_prepare_res_with_new_repos, and _conduct_code_survey from run_infer_idea_ours.py (lines 639–828, 1038–1052) into a single two-phase skill.”
SKILL.md and 5 other files (scripts, references) in skills/inno-code-survey of OpenLAIR/dr-claw.
Open the folder on GitHubat commit d51b64e
Inno Code Survey 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 |
|---|---|---|---|---|---|---|
| Inno Code Survey this skillOpenLAIR/dr-claw | 1.2k | — | ~3.1k | Automated safety check: Pass | Custom licence | |
| Executing Plans Inlineobra/superpowers | 296k | 2 repos | ~5.1k | Automated safety check: Pass | MIT | |
| Interview Meaddyosmani/agent-skills | 103k | 6 repos | ~3.8k | Automated safety check: Pass | MIT | |
| OpenSpec Guided OnboardingFission-AI/OpenSpec | 71k | 1 repos | ~4.5k | Automated safety check: Pass | MIT | |
| Writing Plansgeeksblabla/stateofdev.ma | 163 | 57 repos | ~661 | Automated safety check: Pass | None | |
| Subagent Driven DevelopmentAsvarox/allkaraoke | 261 | 38 repos | ~1.2k | Automated safety check: Pass | None |
obra/superpowers
Has the agent carry out an implementation plan itself, task by task in the current session, keeping a ledger, proving each step with a test and ending with one whole-branch review.
addyosmani/agent-skills
Asks one question at a time, each with a best guess attached, until the agent is about 95 percent sure what you really want, before any plan, spec or code.
Fission-AI/OpenSpec
Walks you through a complete OpenSpec workflow cycle with narration while doing real work in your codebase.
geeksblabla/stateofdev.ma
A skill your agent uses when design is complete and you need detailed implementation tasks for engineers with zero codebase context - creates comprehensive implementation plans with exact file…
Asvarox/allkaraoke
A skill your agent uses when executing implementation plans with independent tasks in the current session
jd-opensource/JoySafeter
Implements Manus-style file-based planning for complex tasks.
OpenLAIR/dr-claw
Analyzes reviewer comments and drafts venue-specific rebuttals for AI and computer science conferences, with an issue board, task list and paper edit plan.
OpenLAIR/dr-claw
Turns a research paper into a slide deck and, optionally, a narrated demo video, through script, slide generation, text-to-speech and video assembly stages you control.
OpenLAIR/dr-claw
Clusters the latest news-feed results by topic and writes a briefing of research idea seeds with citations, plus a structured seeds file, without crawling new sources.
OpenLAIR/dr-claw
Searches Hugging Face Hub, OpenML, GitHub and paper references for datasets that fit a research task and returns a ranked, de-duplicated table.
OpenLAIR/dr-claw
Runs multi-source web research through Google's Gemini Deep Research Agent with a bundled Python script and saves a structured, cited report as files.
OpenLAIR/dr-claw
Six-phase workflow for writing, revising and adapting grant proposals for NSF, NIH, DOE, DARPA, NASA and China's NSFC, from profiling through simulated peer review.
Categories
Acquires missing code repositories for the selected idea (Phase A) and conducts comprehensive code survey mapping academic concepts to implementations (Phase B). Inno Code Survey is an agent skill from OpenLAIR/dr-claw. Acquires missing code repositories for the selected idea (Phase A) and conducts comprehensive code survey mapping academic concepts to implementations (Phase B).
Inno Code Survey fits situations like: tasks that involve Planning.
Run `npx skills add OpenLAIR/dr-claw --skill inno-code-survey -a claude-code`. Or copy the skill folder (skills/inno-code-survey in OpenLAIR/dr-claw) into .claude/skills/inno-code-survey in your project. Claude Code loads it when a task matches its description.
Run `npx skills add OpenLAIR/dr-claw --skill inno-code-survey -a codex`. Or copy the skill folder (skills/inno-code-survey in OpenLAIR/dr-claw) into .agents/skills/inno-code-survey 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 OpenLAIR/dr-claw --skill inno-code-survey -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/inno-code-survey, .gemini/skills/inno-code-survey, .github/skills/inno-code-survey and .opencode/skills/inno-code-survey in your project.
Going by SKILL.md and its folder, Inno Code Survey needs Python for the scripts in its folder and the command-line tools its instructions call (python, git, curl and rg). Our summary lists: Python 3.
SKILL.md names 1 domain. In commands or code: api.github.com; the agent is likely to contact it when it follows the instructions. 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Inno Code Survey has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 3.1k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.7k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Inno Code Survey: Executing Plans Inline (obra/superpowers, 296k stars), Interview Me (addyosmani/agent-skills, 103k stars), OpenSpec Guided Onboarding (Fission-AI/OpenSpec, 71k stars) and Writing Plans (geeksblabla/stateofdev.ma, 163 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
OpenLAIR (a GitHub organization) maintains it in OpenLAIR/dr-claw, which has 1,153 GitHub stars. The repository holds 35 skills in this directory. The repository was last updated on September 17, 2026.
Source: OpenLAIR/dr-claw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.