Agent Builder
shareAI-lab/learn-claude-code
Design and build AI agents for any domain. An agent skill from shareAI-lab/learn-claude-code.
A skill your agent uses when the user wants to step through a feature's checkpoints chronologically, pausing at each step to ask questions.
$ npx skills add entireio/skills --skill replay -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install entireio/skills replay --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/entireio/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/replay .claude/skills/replay && 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 "replay" agent skill from https://github.com/entireio/skills/tree/main/skills/replay into .claude/skills/replay/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "replay", 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/entireio/skills/tree/main/skills/replayType 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 entireio/skills --skill replay -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install entireio/skills replay --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/entireio/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/replay .agents/skills/replay && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "replay" agent skill from https://github.com/entireio/skills/tree/main/skills/replay into .agents/skills/replay/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "replay", 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 entireio/skills --skill replay -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install entireio/skills replay --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/entireio/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/replay .cursor/skills/replay && 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 "replay" agent skill from https://github.com/entireio/skills/tree/main/skills/replay into .cursor/skills/replay/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "replay", 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/entireio/skills.git --path skills/replay--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 entireio/skills --skill replay -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install entireio/skills replay --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/entireio/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/replay .gemini/skills/replay && 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 "replay" agent skill from https://github.com/entireio/skills/tree/main/skills/replay into .gemini/skills/replay/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "replay", 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 entireio/skills replayInstalls 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 entireio/skills --skill replay -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/entireio/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/replay .github/skills/replay && 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 "replay" agent skill from https://github.com/entireio/skills/tree/main/skills/replay into .github/skills/replay/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "replay", 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 entireio/skills --skill replay -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install entireio/skills replay --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/entireio/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/replay .opencode/skills/replay && 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 "replay" agent skill from https://github.com/entireio/skills/tree/main/skills/replay into .opencode/skills/replay/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "replay", 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.
replayA skill your agent uses when the user wants to step through a feature's checkpoints chronologically, pausing at each step to ask questions.
Replay is an agent skill from entireio/skills. Use when the user wants to step through a feature's checkpoints chronologically, pausing at each step to ask questions. Triggers on phrases like "replay <feature", "walk me through how X was built", "show me the journey of", "step me through how Y was implemented", and "replay the last week"
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in AI & LLM Engineering. The repository describes itself as: ✨ Cross-agent skills that help coding agents use Entire context from Checkpoints, sessions, and git history to search past work, explain code, and hand off sessions. The licence is MIT.
2 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit fe5266f. 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:
gitFrom 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:
entire.ioFrom 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.
Replay loads about 1.7k tokens when it runs. Until then it costs about 75 tokens; SKILL.md has 862 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.
The full file from entireio/skills at commit fe5266f, republished under its MIT licence (© entireio). 862 words, ~1,674 tokens.
.claude/skills/replay/SKILL.md (or your agent's skills folder).Use entire search and entire checkpoint explain to sequence checkpoints chronologically and walk through them step by step, pausing for questions at each step. The pause-and-ask interaction is the core feature — do not dump all steps at once.
Begin the first response to this skill invocation with the line:
Entire Replay:
followed by a blank line, then the content.
If the user wants a flat single-topic summary, use teach instead.
entire search, entire checkpoint explain, and entire dispatch.entire search, entire checkpoint explain, or entire dispatch as a single shell-quoted argument. Strip or escape embedded quotes, backticks, $(...), and ; before substituting into the command — never paste user text directly into a shell snippet.git rev-parse --is-inside-work-tree
entire versionRun this from inside a git repository.The Entire CLI is required but not installed. Install it from https://entire.io/docs/cli and try again.entire search, entire checkpoint explain, and entire dispatch as authentication-gated. If any reports authentication is required, stop and tell the user:entire search requires authentication. Run entire login and try again.
Do not print Entire Replay: until at least the target-resolution search has succeeded.
entire search "<topic>" --json --limit 30 --date monthSort the hits chronologically (ascending) by checkpoint timestamp.
First derive 1-2 seed terms by reading recent activity:
entire dispatch --since 7d --voice neutralPick the most recurring nouns from the dispatch as seed terms, then run focused searches in parallel:
entire search "<seed term>" --json --date week --limit 30Sort hits chronologically (ascending).
entire checkpoint explain --checkpoint <step-1-id> --full --no-pagerFall back to --raw-transcript if --full fails.
Entire Replay:
Replaying: <topic or window>
Total steps: <n>
Date range: <first-date> -> <last-date>
Primary author(s): <name(s)>
---
## Step 1 of <n> · <date> · <author>
<one-line summary of this step>
**Why this step happened:** <1-2 sentences — what triggered it, what came before>
**Key change or decision:** <1-3 sentences — what was actually done>
Ready for step 2? (Or ask a question about this step.)next, continue, yes, or any clear advance signal, fetch the next checkpoint's transcript and present the next step using the same shape, with one addition:Suppress the response header on these follow-up turns — only the first turn of the invocation includes it.
Questions about the current step: if the user asks a question instead of advancing, answer it from the current step's transcript only. Do not read ahead. End the answer with: Ready for step 2? (Or another question.) (use the correct step number).
After the final step: present a short closing block:
## Journey takeaways
- <takeaway>
- <takeaway>
- <takeaway>3-5 takeaways, each one a generalization across the journey, not a restatement of a single step.
--date filter entirely and re-running. If still empty, say clearly: No checkpoints match "<target>". Tried: <queries and filters>. Do not invent steps.Only <n> checkpoints found — not enough for a replay. and suggest the teach or recall skills as alternatives.--full or --raw-transcript, drop the step and tell the user at that point in the sequence: Step <n> transcript unavailable — skipping to step <n+1>. Do not fabricate the missing step.© entireio, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/replay of entireio/skills.
Open the folder on GitHubat commit fe5266f
Replay 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 |
|---|---|---|---|---|---|---|
| Replay this skillentireio/skills | 223 | — | ~1.7k | Automated safety check: Pass | MIT | |
| Agent BuildershareAI-lab/learn-claude-code | 78k | 5 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Add Uint Supportpytorch/pytorch | 104k | 2 repos | ~2.3k | Automated safety check: Pass | Custom licence | |
| LLM Benchmarking with lm-evaluation-harnessOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~3k | Automated safety check: Pass | MIT | |
| Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~3.3k | Automated safety check: Pass | MIT | |
| 1passwordtrpc-group/trpc-agent-go | 1.9k | 14 repos | ~656 | Automated safety check: Pass | Apache-2.0 |
shareAI-lab/learn-claude-code
Design and build AI agents for any domain. An agent skill from shareAI-lab/learn-claude-code.
pytorch/pytorch
Add unsigned integer (uint) type support to PyTorch operators by updating ATDISPATCH macros.
Orchestra-Research/AI-Research-SKILLs
Runs lm-evaluation-harness to benchmark language models on academic suites such as MMLU, GSM8K and HumanEval, compare models and track training checkpoints.
Orchestra-Research/AI-Research-SKILLs
Guide to using Meta's Segment Anything Model for zero-shot image segmentation with point, box or mask prompts, or automatic mask generation.
trpc-group/trpc-agent-go
Set up and use 1Password CLI (op). An agent skill from trpc-group/trpc-agent-go.
jarrodwatts/claude-code-config
Transforms workflow to use Manus-style persistent markdown files for planning, progress tracking, and knowledge storage.
entireio/skills
Review code changes on the current branch using checkpoint transcript context to understand developer intent before auditing the diff.
entireio/skills
Address the review findings posted on an Entire trail: fetch the trail's open findings, fix the code, and resolve them on the trail.
entireio/skills
A skill your agent uses when the user describes a task and wants to know whether something similar has been done before, then turn the closest prior session into a task playbook.
entireio/skills
A skill your agent uses when the user asks to research, investigate, look into, dig into, or search for anything — a topic, feature, bug, decision, or "what do we know about X".
entireio/skills
A skill your agent uses when an agent session ran outside the repo whose commits should record it — e.g.
entireio/skills
A skill your agent uses when the user wants to turn one or more Entire-tracked sessions, checkpoints, or repeated agent workflows into a reusable agent skill.
Categories
A skill your agent uses when the user wants to step through a feature's checkpoints chronologically, pausing at each step to ask questions. Replay is an agent skill from entireio/skills. Use when the user wants to step through a feature's checkpoints chronologically, pausing at each step to ask questions.
Replay fits situations like: the user wants to step through a features checkpoints chronologically; pausing at each step to ask questions; phrases like replay <feature; walk me through how X was built.
Run `npx skills add entireio/skills --skill replay -a claude-code`. Or copy the skill folder (skills/replay in entireio/skills) into .claude/skills/replay in your project. Claude Code loads it when a task matches its description.
Run `npx skills add entireio/skills --skill replay -a codex`. Or copy the skill folder (skills/replay in entireio/skills) into .agents/skills/replay 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 entireio/skills --skill replay -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/replay, .gemini/skills/replay, .github/skills/replay and .opencode/skills/replay in your project.
Going by SKILL.md and its folder, Replay needs the command-line tools its instructions call (git).
SKILL.md names 1 domain. In commands or code: entire.io; 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. Review the folder before installing.
Replay is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.7k tokens (SKILL.md is roughly 6.7k 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 Replay: Agent Builder (shareAI-lab/learn-claude-code, 78k stars), Add Uint Support (pytorch/pytorch, 104k stars), LLM Benchmarking with lm-evaluation-harness (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
entireio (a GitHub organization) maintains it in entireio/skills, which has 223 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on September 29, 2026.
Source: entireio/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.