Reply to humans who are chatting with me. An agent skill from laude-institute/headlong.
$ npx skills add laude-institute/headlong --skill chat -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install laude-institute/headlong chat --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/laude-institute/headlong.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/chat .claude/skills/chat && 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 "chat" agent skill from https://github.com/laude-institute/headlong/tree/main/skills/chat into .claude/skills/chat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "chat", 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/laude-institute/headlong/tree/main/skills/chatType 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 laude-institute/headlong --skill chat -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install laude-institute/headlong chat --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/laude-institute/headlong.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/chat .agents/skills/chat && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "chat" agent skill from https://github.com/laude-institute/headlong/tree/main/skills/chat into .agents/skills/chat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "chat", 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 laude-institute/headlong --skill chat -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install laude-institute/headlong chat --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/laude-institute/headlong.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/chat .cursor/skills/chat && 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 "chat" agent skill from https://github.com/laude-institute/headlong/tree/main/skills/chat into .cursor/skills/chat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "chat", 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/laude-institute/headlong.git --path skills/chat--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 laude-institute/headlong --skill chat -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install laude-institute/headlong chat --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/laude-institute/headlong.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/chat .gemini/skills/chat && 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 "chat" agent skill from https://github.com/laude-institute/headlong/tree/main/skills/chat into .gemini/skills/chat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "chat", 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 laude-institute/headlong chatInstalls 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 laude-institute/headlong --skill chat -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/laude-institute/headlong.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/chat .github/skills/chat && 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 "chat" agent skill from https://github.com/laude-institute/headlong/tree/main/skills/chat into .github/skills/chat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "chat", 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 laude-institute/headlong --skill chat -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install laude-institute/headlong chat --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/laude-institute/headlong.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/chat .opencode/skills/chat && 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 "chat" agent skill from https://github.com/laude-institute/headlong/tree/main/skills/chat into .opencode/skills/chat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "chat", 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.
chatReply to humans who are chatting with me. An agent skill from laude-institute/headlong.
Chat is an agent skill from laude-institute/headlong. Reply to humans who are chatting with me
Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: An open source agent microharness featuring persistent agency and recursive LLMs. Of bash, by bash, for bash; it's shells all the way down. The licence is Apache-2.0.
2 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit c43e597. 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.
No scripts in the folder and no shell commands in SKILL.md.
From 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.
Chat loads about 1k tokens when it runs. Until then it costs about 11 tokens; SKILL.md has 686 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 laude-institute/headlong at commit c43e597, republished under its Apache-2.0 licence (© laude-institute). 686 words, ~1,041 tokens.
.claude/skills/chat/SKILL.md (or your agent's skills folder).I can talk to humans and other AIs. I send and receive messages by way of my trajectory. Each message is a step in my trajectory.
There is a CLI tool called chat that is used for me and others to send messages. Others can use chat send <message> to append chat messages to my trajectory. To send a message to others, I can write steps directly to my trajectory or I can use chat reply <to_name> <message>.
A step in my trajectory with "type":"message" is a message to or from me. I know who it is from and to by looking at the step's to and from fields.
A message in my trajectory to me, i.e. my name, is someone talking to me.
A message in my trajectory from me, i.e. my name, is something I already said.
To send a reply, I can use chat reply <to_name>:
chat reply <to_name> <message>This creates a message step with from set to my name and to set to the recipient.
IMPORTANT: if I use chat send it sends a message to myself, so I must NEVER use chat send to reply to somebody else. I always use chat reply.
chat history [N] # show last N messages (default 20)
chat history --with <name> [--since 7d] # my whole conversation with one person
chat history --with <name> -n 50 --json # same, as JSON with timestamps
chat pending # requests the responder deferred to me that I have not delivered yet
chat sent [--since 24h] [-n N] [--json] # what I sent, newest first, with what the bridge reported back--with groups a person across every name a bridge has used for them (a
Slack user's DM and every channel thread, a phone chat name), so it is the
way to check what someone and I said before, even days ago. It reads a
small index next to my trajectory, so it is fast; chat person-key <name>
shows the stable key behind a routing name.
chat sent is my sent folder. Each line is one outbound message with its
delivery state: delivered, failed (reason) when the bridge could not
post it, pending when a Slack or Telegram bridge has not confirmed it
yet, or unconfirmed for a transport that never reports back (the phone
chat). My wake prompt shows the last day of it. A failed line means the
person never saw the message; fix the address and send again. chat send
and a proactive chat reply refuse an exact repeat of something I sent to
the same destination in the last 24 hours; --force overrides that when
the repeat is deliberate.
I should reply when I see a message that seems directed at me or asks me a question. I keep my replies natural and conversational. I can also start a conversation if I have a reason to talk to the person, such as asking for help or sharing something relevant to them.
Plain text is the only format guaranteed to render correctly in every chat client, so I default to it:
**bold**, no *italics*, no [text](url). Use plain names, put single quotes around phrases if I need emphasis.If the person I'm talking to reads chat through Shellm.app (macos/Shellm/main.swift), two rendering facts apply on top of the rules above:
Text with no markdown parsing. Backticks, asterisks, and square-bracket links render literally.© laude-institute, Apache-2.0. 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/chat of laude-institute/headlong.
Open the folder on GitHubat commit c43e597
Chat 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 |
|---|---|---|---|---|---|---|
| Chat this skilllaude-institute/headlong | 1.2k | — | ~1k | Automated safety check: Pass | Apache-2.0 | |
| Humanizebrycewang-stanford/Auto-Empirical-Research-Skills | 4.6k | — | ~6.6k | Automated safety check: Pass | Custom licence | |
| Humanize Chinesesickn33/agentic-awesome-skills | 47k | 2 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Human Gatealirezarezvani/claude-skills | 28k | — | ~1.5k | Automated safety check: Pass | MIT | |
| Deepseek Chatruvnet/ruflo | 74k | — | ~564 | Automated safety check: Notes | MIT | |
| Chat SDK Botslobehub/lobehub | 83k | — | ~1.5k | Automated safety check: Pass | Custom licence |
brycewang-stanford/Auto-Empirical-Research-Skills
Humanization Pipeline Orchestrator v3.1 - Multi-pass 4-layer transformation pipeline Orchestrates G5 (Auditor), G6 (Humanizer), F5 (Verifier) in sequential passes Enforces checkpoints between every…
sickn33/agentic-awesome-skills
Detect and rewrite AI-like Chinese text with a practical workflow for scoring, humanization, academic AIGC reduction, and style conversion.
alirezarezvani/claude-skills
Runs the human-verification lane of an agent loop, and proves review happened before work is called done.
ruvnet/ruflo
One-shot chat completion against DeepSeek's deepseek-chat model via the OpenAI-compatible /v1/chat/completions endpoint.
lobehub/lobehub
Builds chat bots once for Slack, Teams, Google Chat, Discord, GitHub and Linear with the Chat SDK, covering event handlers, cards, modals, streaming and state adapters.
Prism-Shadow/penguin-harness
Rewrite or edit prose in any language so it reads like edited human writing in the register of books, newspapers and encyclopedias rather than default AI output.
laude-institute/headlong
Explains how shellm's bash-based recursive LLM shell fits together - its core engine, identity system, memory, skills and trajectory log.
laude-institute/headlong
Scaffolds new ShellLM skills with the right frontmatter, directory layout and agent-facing writing style, so an agent can extend its own capabilities.
laude-institute/headlong
Looks things up online from the shell with curl: fetching pages, searching DuckDuckGo's HTML endpoint, stripping tags for readable text and pulling JSON APIs.
laude-institute/headlong
Drives Google Drive, Gmail, Calendar, Sheets, Docs and Chat from the shell with the gws CLI, including its sign-in, flags, helper commands and safety rules.
laude-institute/headlong
Read, write, search, and manage notes in an Obsidian vault. An agent skill from laude-institute/headlong.
laude-institute/headlong
Talk with people on Slack — recognize slack- senders and reach them via chat reply
Reply to humans who are chatting with me. An agent skill from laude-institute/headlong. Chat is an agent skill from laude-institute/headlong.
Run `npx skills add laude-institute/headlong --skill chat -a claude-code`. Or copy the skill folder (skills/chat in laude-institute/headlong) into .claude/skills/chat in your project. Claude Code loads it when a task matches its description.
Run `npx skills add laude-institute/headlong --skill chat -a codex`. Or copy the skill folder (skills/chat in laude-institute/headlong) into .agents/skills/chat 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 laude-institute/headlong --skill chat -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/chat, .gemini/skills/chat, .github/skills/chat and .opencode/skills/chat in your project.
SKILL.md names no scripts, command-line tools or credentials: Chat is instructions for the agent only.
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.
Chat is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1k tokens (SKILL.md is roughly 4.2k 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 Chat: Humanize (brycewang-stanford/Auto-Empirical-Research-Skills, 4.6k stars), Humanize Chinese (sickn33/agentic-awesome-skills, 47k stars), Human Gate (alirezarezvani/claude-skills, 28k stars) and Deepseek Chat (ruvnet/ruflo, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
laude-institute (a GitHub organization) maintains it in laude-institute/headlong, which has 1,216 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on October 9, 2026.
Source: laude-institute/headlong on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.
