Unslop File
MohamedAbdallah-14/unslop
Humanize natural-language memory files (CLAUDE.md, todos, preferences, docs) by removing AI-isms and adding burstiness while preserving every code block, URL, path, command, and heading exactly.
Onboard an AI agent to an unknown codebase by generating a comprehensive instructions file.
Install Instruction Generation
$ npx skills add bitovi/ai-enablement-prompts --skill instruction-generation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install bitovi/ai-enablement-prompts instruction-generation --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/bitovi/ai-enablement-prompts.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/code/skills/instruction-generation .claude/skills/instruction-generation && 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 "instruction-generation" agent skill from https://github.com/bitovi/ai-enablement-prompts/tree/main/plugins/code/skills/instruction-generation into .claude/skills/instruction-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "instruction-generation", 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/bitovi/ai-enablement-prompts/tree/main/plugins/code/skills/instruction-generationType 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 bitovi/ai-enablement-prompts --skill instruction-generation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install bitovi/ai-enablement-prompts instruction-generation --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/bitovi/ai-enablement-prompts.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/code/skills/instruction-generation .agents/skills/instruction-generation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "instruction-generation" agent skill from https://github.com/bitovi/ai-enablement-prompts/tree/main/plugins/code/skills/instruction-generation into .agents/skills/instruction-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "instruction-generation", 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 bitovi/ai-enablement-prompts --skill instruction-generation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install bitovi/ai-enablement-prompts instruction-generation --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/bitovi/ai-enablement-prompts.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/code/skills/instruction-generation .cursor/skills/instruction-generation && 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 "instruction-generation" agent skill from https://github.com/bitovi/ai-enablement-prompts/tree/main/plugins/code/skills/instruction-generation into .cursor/skills/instruction-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "instruction-generation", 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/bitovi/ai-enablement-prompts.git --path plugins/code/skills/instruction-generation--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 bitovi/ai-enablement-prompts --skill instruction-generation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install bitovi/ai-enablement-prompts instruction-generation --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/bitovi/ai-enablement-prompts.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/code/skills/instruction-generation .gemini/skills/instruction-generation && 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 "instruction-generation" agent skill from https://github.com/bitovi/ai-enablement-prompts/tree/main/plugins/code/skills/instruction-generation into .gemini/skills/instruction-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "instruction-generation", 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 bitovi/ai-enablement-prompts instruction-generationInstalls 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 bitovi/ai-enablement-prompts --skill instruction-generation -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/bitovi/ai-enablement-prompts.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/code/skills/instruction-generation .github/skills/instruction-generation && 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 "instruction-generation" agent skill from https://github.com/bitovi/ai-enablement-prompts/tree/main/plugins/code/skills/instruction-generation into .github/skills/instruction-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "instruction-generation", 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 bitovi/ai-enablement-prompts --skill instruction-generation -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install bitovi/ai-enablement-prompts instruction-generation --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/bitovi/ai-enablement-prompts.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/code/skills/instruction-generation .opencode/skills/instruction-generation && 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 "instruction-generation" agent skill from https://github.com/bitovi/ai-enablement-prompts/tree/main/plugins/code/skills/instruction-generation into .opencode/skills/instruction-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "instruction-generation", 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.
Facts
- Skill name
instruction-generation- GitHub stars
- 121
- Token cost
- ~1.4k tokens
- SKILL.md length
- 522 words
- Files
- 7
- Skills in repo
- 40
- Repo updated
- First seen
- Licence
- MIT
At a glance
Onboard an AI agent to an unknown codebase by generating a comprehensive instructions file.
- Works in 5 steps: Determine Tech Stack → Categorize Files → Identify Architecture ⇄ Step 5: Style… → …
- Asked to analyze a codebase
- SKILL.md covers Overview, Parameters, Execution and Alternative: All-in-One Usage
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Instruction Generation is an agent skill from bitovi/ai-enablement-prompts. Onboard an AI agent to an unknown codebase by generating a comprehensive instructions file. Use when asked to analyze a codebase, generate copilot instructions, create an onboarding document, or teach an AI about a project. Runs a 6-step prompt chain covering tech stack, file categorization, architecture, domain analysis, style guides, and instruction building.
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files (for example `1-determine-techstack.md`, `2-categorize-files.md` and `3-identify-architecture.md`).
It sits in Writing & Content, covering Agent instruction files. The repository describes itself as: Prompts Bitovi uses for software development. The licence is MIT.
When your agent uses it
- Asked to analyze a codebase
- Generate copilot instructions
- Create an onboarding document
- Teach an AI about a project
Example prompts
- “/instruction-generation”
Workflow steps
5 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit df229b1. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
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.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Instruction Generation loads about 1.4k tokens when it runs. Until then it costs about 97 tokens; SKILL.md has 522 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.
Safety
Auto-check passed
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.
SKILL.md
The full file from bitovi/ai-enablement-prompts at commit df229b1, republished under its MIT licence (© bitovi). 522 words, ~1,371 tokens.
Download SKILL.mdSave it as
.claude/skills/instruction-generation/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.- name
- instruction-generation
- description
- Onboard an AI agent to an unknown codebase by generating a comprehensive instructions file. Use when asked to analyze a codebase, generate copilot instructions, create an onboarding document, or teach an AI about a project. Runs a 6-step prompt chain covering tech stack, file categorization, architecture, domain analysis, style guides, and instruction building.
Skill: Instruction Generation
This skill guides you through a multi-step analysis chain to generate a comprehensive instructions file (e.g., copilot-instructions.md) by analyzing the structure, patterns, and intent of a codebase. The resulting file helps AI tools operate more effectively within the project by providing clear architectural context, domain understanding, and stylistic guidelines.
Overview
This prompt chain walks through structured steps to extract meaningful insights from a codebase:
- Identifying the technology stack and major frameworks
- Mapping out file purposes and categorizing project structure
- Inferring architecture and design patterns
- Understanding domain concepts and key features
- Generating stylistic and structural guidance for future code contributions
The final output serves as a high-level onboarding and guidance document that aligns AI-generated code with the project's existing conventions and design.
Parameters
Before starting, define these parameters:
- {output-folder} — Path where intermediate analysis files are saved (e.g.,
.results/) - {final_output_file} — Final combined output file (e.g.,
/.github/copilot-instructions.md)
Recommended Defaults
| Tool | output-folder | final_output_file |
|---|---|---|
| Copilot | .results/ | /.github/copilot-instructions.md |
| Windsurf | .windsurf/ | /.windsurf/instructions.md |
| Claude | .results/ | CLAUDE.md |
Execution
Run the following steps in order. Each step reads the output of previous steps.
For each step:
- Read the corresponding sub-prompt file from this skill's folder
- Launch a subagent with the sub-prompt contents, substituting
{output-folder}and{final_output_file}with the resolved parameter values - Wait for the subagent to complete before moving to the next step (unless steps can run in parallel — see below)
The sub-prompt files are located alongside this SKILL.md file.
Execution Order
Steps 3 and 5 have no dependency on each other and should be run in parallel to save time:
Step 1 (Tech Stack)
↓
Step 2 (Categorize Files)
↓
Step 3 (Architecture) ←──── run in parallel ────→ Step 5 (Style Guides)
↓
Step 4 (Domain Deep Dive)
↓
Step 6 (Build Instructions)Step 1: Determine Tech Stack
Read ./1-determine-techstack.md and launch a subagent with its contents.
The subagent should analyze the codebase and write its findings to ./{output-folder}/1-techstack.md.
Step 2: Categorize Files
Depends on: Step 1
Read ./2-categorize-files.md and launch a subagent with its contents.
The subagent should read ./{output-folder}/1-techstack.md first, then categorize every file in the codebase and write the result to ./{output-folder}/2-file-categorization.json.
Show full SKILL.md (203 more words)Show less
Step 3: Identify Architecture ⇄ Step 5: Style Guide Generation (parallel)
After Step 2 completes, launch Steps 3 and 5 as parallel subagents — they have no dependency on each other.
Step 3: Identify Architecture
Depends on: Steps 1, 2
Read ./3-identify-architecture.md and launch a subagent with its contents.
The subagent should read ./{output-folder}/1-techstack.md and ./{output-folder}/2-file-categorization.json, then identify architectural domains and write the result to ./{output-folder}/3-architectural-domains.json.
Step 5: Style Guide Generation
Depends on: Step 2
Read ./5-styleguide-generation.md and launch a subagent with its contents.
The subagent should read ./{output-folder}/2-file-categorization.json, then for each category write a style guide to ./{output-folder}/5-style-guides/{category}.md.
Step 4: Domain Deep Dive
Depends on: Step 3
Wait for Step 3 to complete. Read ./4-domain-deep-dive.md and launch a subagent with its contents.
The subagent should read ./{output-folder}/3-architectural-domains.json and ./{output-folder}/1-techstack.md, then for each domain write findings to ./{output-folder}/4-domains/{domain}.md.
Step 6: Build Instructions
Depends on: Steps 3, 4, 5 (all must be complete)
Read ./6-build-instructions.md and launch a subagent with its contents.
The subagent should synthesize all previous outputs (including ./{output-folder}/4-domains/{domain}.md files) and generate the final instruction file at {final_output_file}.
Alternative: All-in-One Usage
You can run this entire chain by providing the agent with these parameters and instructing it to execute all 6 steps in sequence:
{output-folder} = .results
{final_output_file} = /.github/copilot-instructions.md
Execute the instruction-generation skill steps 1 through 6 in order.
For each step, read the sub-prompt file and launch a subagent to perform the work.
Stop only when all steps are complete and {final_output_file} is generated.© bitovi, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 6 other files in plugins/code/skills/instruction-generation of bitovi/ai-enablement-prompts.
- SKILL.md
- 1-determine-techstack.md
- 2-categorize-files.md
- 3-identify-architecture.md
- 4-domain-deep-dive.md
- 5-styleguide-generation.md
- 6-build-instructions.md
Open the folder on GitHubat commit df229b1
Compare with similar skills
Instruction Generation 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 |
|---|---|---|---|---|---|---|
| Instruction Generation this skillbitovi/ai-enablement-prompts | 121 | — | ~1.4k | Automated safety check: Pass | MIT | |
| Unslop FileMohamedAbdallah-14/unslop | 154 | 1 repos | ~2.7k | Automated safety check: Warn | MIT | |
| Translate DocsMoonshotAI/kimi-code | 7.8k | — | ~976 | Automated safety check: Pass | MIT | |
| Write Evlog Contentevloghq/evlog | 1.9k | — | ~386 | Automated safety check: Pass | MIT | |
| Asd Ste100danyuchn/asd-ste100-skill | 4k | — | ~4.1k | Automated safety check: Pass | MIT | |
| Audit Session Metricscentminmod/my-claude-code-setup | 2.7k | — | ~2.1k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Instruction Generation
What does Instruction Generation do?
Onboard an AI agent to an unknown codebase by generating a comprehensive instructions file. Instruction Generation is an agent skill from bitovi/ai-enablement-prompts. Onboard an AI agent to an unknown codebase by generating a comprehensive instructions file.
When should I use Instruction Generation?
Instruction Generation fits situations like: asked to analyze a codebase; generate copilot instructions; create an onboarding document; teach an AI about a project.
How do I install Instruction Generation in Claude Code?
Run `npx skills add bitovi/ai-enablement-prompts --skill instruction-generation -a claude-code`. Or copy the skill folder (plugins/code/skills/instruction-generation in bitovi/ai-enablement-prompts) into .claude/skills/instruction-generation in your project. Claude Code loads it when a task matches its description.
How do I install Instruction Generation in Codex?
Run `npx skills add bitovi/ai-enablement-prompts --skill instruction-generation -a codex`. Or copy the skill folder (plugins/code/skills/instruction-generation in bitovi/ai-enablement-prompts) into .agents/skills/instruction-generation in your project. Codex loads it when a task matches its description.
Can I use Instruction Generation in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add bitovi/ai-enablement-prompts --skill instruction-generation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/instruction-generation, .gemini/skills/instruction-generation, .github/skills/instruction-generation and .opencode/skills/instruction-generation in your project.
What does Instruction Generation need to run?
SKILL.md names no scripts, command-line tools or credentials: Instruction Generation is instructions for the agent only.
Does Instruction Generation access the network?
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.
Is Instruction Generation safe to install?
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.
What licence does Instruction Generation use?
Instruction Generation is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Instruction Generation use?
About 1.4k tokens (SKILL.md is roughly 5.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Instruction Generation?
Skills that share tags, products or a category with Instruction Generation: Unslop File (MohamedAbdallah-14/unslop, 154 stars), Translate Docs (MoonshotAI/kimi-code, 7.8k stars), Write Evlog Content (evloghq/evlog, 1.9k stars) and Asd Ste100 (danyuchn/asd-ste100-skill, 4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Instruction Generation?
bitovi (a GitHub organization) maintains it in bitovi/ai-enablement-prompts, which has 121 GitHub stars. The repository holds 40 skills in this directory. The repository was last updated on September 11, 2026.
Source: bitovi/ai-enablement-prompts on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.