Prompt Improver
severity1/claude-code-prompt-improver
This skill enriches vague prompts with targeted research and clarification before execution.
Honey for plain Claude — the terse-prose core with no agent-harness features.
$ npx skills add Green-PT/honey-for-devs --skill honey-chat -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Green-PT/honey-for-devs honey-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/Green-PT/honey-for-devs.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/honey-chat .claude/skills/honey-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 "honey-chat" agent skill from https://github.com/Green-PT/honey-for-devs/tree/main/skills/honey-chat into .claude/skills/honey-chat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "honey-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/Green-PT/honey-for-devs/tree/main/skills/honey-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 Green-PT/honey-for-devs --skill honey-chat -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Green-PT/honey-for-devs honey-chat --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Green-PT/honey-for-devs.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/honey-chat .agents/skills/honey-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 "honey-chat" agent skill from https://github.com/Green-PT/honey-for-devs/tree/main/skills/honey-chat into .agents/skills/honey-chat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "honey-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 Green-PT/honey-for-devs --skill honey-chat -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Green-PT/honey-for-devs honey-chat --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Green-PT/honey-for-devs.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/honey-chat .cursor/skills/honey-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 "honey-chat" agent skill from https://github.com/Green-PT/honey-for-devs/tree/main/skills/honey-chat into .cursor/skills/honey-chat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "honey-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/Green-PT/honey-for-devs.git --path skills/honey-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 Green-PT/honey-for-devs --skill honey-chat -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Green-PT/honey-for-devs honey-chat --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Green-PT/honey-for-devs.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/honey-chat .gemini/skills/honey-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 "honey-chat" agent skill from https://github.com/Green-PT/honey-for-devs/tree/main/skills/honey-chat into .gemini/skills/honey-chat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "honey-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 Green-PT/honey-for-devs honey-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 Green-PT/honey-for-devs --skill honey-chat -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Green-PT/honey-for-devs.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/honey-chat .github/skills/honey-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 "honey-chat" agent skill from https://github.com/Green-PT/honey-for-devs/tree/main/skills/honey-chat into .github/skills/honey-chat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "honey-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 Green-PT/honey-for-devs --skill honey-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 Green-PT/honey-for-devs honey-chat --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Green-PT/honey-for-devs.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/honey-chat .opencode/skills/honey-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 "honey-chat" agent skill from https://github.com/Green-PT/honey-for-devs/tree/main/skills/honey-chat into .opencode/skills/honey-chat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "honey-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.
honey-chatHoney for plain Claude — the terse-prose core with no agent-harness features.
Honey Chat is an agent skill from Green-PT/honey-for-devs. Honey for plain Claude — the terse-prose core with no agent-harness features. Paste into a claude.ai Project's custom instructions, a Style, or an API system prompt. Strips filler, hedging, and pleasantries from every response while keeping facts, names, numbers, steps, and code exact. No tools required.
Its SKILL.md is about 550 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `COMPACT.md`).
It sits in AI & LLM Engineering, covering Prompt engineering. The repository describes itself as: Honey (I Shrunk the AI) by GreenPT: a cross-tool coding skill that cuts AI coding-agent token usage and LLM API costs — write less code, less prose, and denser agent-to-agent… The licence is MIT.
Read from SKILL.md and the folder at commit 9169fc5. 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.
Honey Chat loads about 553 tokens when it runs. Until then it costs about 79 tokens; SKILL.md has 276 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 Green-PT/honey-for-devs at commit 9169fc5, republished under its MIT licence (© Green-PT). 276 words, ~553 tokens.
.claude/skills/honey-chat/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Volume is cost. Say the fewest words that stay clear — in every response, even when the user doesn't ask for brevity. Apply reflexively; never spend reasoning on how to comply.
Step up, never down, when brevity would cost correctness — a subtle risk, a tradeoff, a learner who needs the why. An answer that forces a follow-up question saved nothing.
If compression makes the reader work to recover the meaning, stop — that moves cost, it doesn't remove it.
Minimum that solves it: standard library and language idioms before custom
helpers; no speculative options or "might need later" branches. Code blocks
verbatim and runnable — never ...-elided. Keep input validation and error
handling that prevents data loss; one line on the main edge case.
Pin intensity by adding one line here: "Default to honey ultra" (max savings) or "Default to honey lite" (keep explanations).
© Green-PT, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file in skills/honey-chat of Green-PT/honey-for-devs.
Open the folder on GitHubat commit 9169fc5
Honey 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 |
|---|---|---|---|---|---|---|
| Honey Chat this skillGreen-PT/honey-for-devs | 313 | — | ~553 | Automated safety check: Pass | MIT | |
| Prompt Improverseverity1/claude-code-prompt-improver | 1.9k | 1 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Prompt Engineering Patternsynulihao/AgentSkillOS | 618 | 14 repos | ~1.7k | Automated safety check: Pass | None | |
| Patch CreationPiebald-AI/tweakcc | 2.5k | — | ~1.6k | Automated safety check: Pass | MIT | |
| Senior Prompt Engineermaslennikov-ig/claude-code-orchestrator-kit | 260 | 3 repos | ~1.4k | Automated safety check: Pass | Custom licence | |
| Codex Fable5baskduf/FableCodex | 437 | — | ~1.6k | Automated safety check: Pass | AGPL-3.0 |
severity1/claude-code-prompt-improver
This skill enriches vague prompts with targeted research and clarification before execution.
ynulihao/AgentSkillOS
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production.
Piebald-AI/tweakcc
Create and register new patches for tweakcc. An agent skill from Piebald-AI/tweakcc.
maslennikov-ig/claude-code-orchestrator-kit
Provides reference guides and Python scripts for prompt optimization, RAG evaluation, and agent orchestration when building or tuning LLM systems.
baskduf/FableCodex
Apply a Claude Fable 5 inspired operating style inside Codex.
wshobson/agents
Reference for designing and tuning production LLM prompts: few-shot examples, chain-of-thought, structured outputs, templates and system prompts.
Green-PT/honey-for-devs
Write less code and say less about it. An agent skill from Green-PT/honey-for-devs.
Green-PT/honey-for-devs
Compress-Cache-Retrieve for huge, repetitive array tool output (logs, scan results, time series, event streams) before it enters context.
Green-PT/honey-for-devs
Report this session's output tokens and CO₂ by running the repo's committed EcoLogits port, plus the modelled CO₂/$ saved vs a no-Honey baseline — always labelled with the bench stamp it came from.
Green-PT/honey-for-devs
Show Honey's benchmark scoreboard — the committed quality and token results per task tier (code, user-facing, agent-to-agent) from bench/.
Green-PT/honey-for-devs
Read huge, dense, read-only text as rendered PNG pages instead of raw text — image tokens scale with pixels, not characters, so token-dense bulk (big files, vendored code, diffs, logs) costs ~60–75%…
Green-PT/honey-for-devs
Stack Honey onto Superpowers-style workflows (subagent-driven-development, dispatching-parallel-agents, executing-plans) and any orchestration that dispatches fresh subagents.
Categories
Honey for plain Claude — the terse-prose core with no agent-harness features. Honey Chat is an agent skill from Green-PT/honey-for-devs. Honey for plain Claude — the terse-prose core with no agent-harness features.
Honey Chat fits situations like: tasks that involve Prompt engineering.
Run `npx skills add Green-PT/honey-for-devs --skill honey-chat -a claude-code`. Or copy the skill folder (skills/honey-chat in Green-PT/honey-for-devs) into .claude/skills/honey-chat in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Green-PT/honey-for-devs --skill honey-chat -a codex`. Or copy the skill folder (skills/honey-chat in Green-PT/honey-for-devs) into .agents/skills/honey-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 Green-PT/honey-for-devs --skill honey-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/honey-chat, .gemini/skills/honey-chat, .github/skills/honey-chat and .opencode/skills/honey-chat in your project.
SKILL.md names no scripts, command-line tools or credentials: Honey 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.
Honey Chat is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 553 tokens (SKILL.md is roughly 2.2k 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 Honey Chat: Prompt Improver (severity1/claude-code-prompt-improver, 1.9k stars), Prompt Engineering Patterns (ynulihao/AgentSkillOS, 618 stars), Patch Creation (Piebald-AI/tweakcc, 2.5k stars) and Senior Prompt Engineer (maslennikov-ig/claude-code-orchestrator-kit, 260 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Green-PT (a GitHub organization) maintains it in Green-PT/honey-for-devs, which has 313 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on September 7, 2026.
Source: Green-PT/honey-for-devs on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.