This skill should be used when the user asks about "writing conventions", "codebase context", "HARNESS.md context section", "convention documentation", "how to write enforceable rules", or needs…

Custom licenceAuto-check passedAgent Workflows

Install Context Engineering

skills CLI
$ npx skills add Habitat-Thinking/ai-literacy-superpowers --skill context-engineering -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Habitat-Thinking/ai-literacy-superpowers context-engineering --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Habitat-Thinking/ai-literacy-superpowers.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ai-literacy-superpowers/skills/context-engineering .claude/skills/context-engineering && rm -rf skills-src

Use ~/.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/

Facts

Skill name
context-engineering
GitHub stars
114
Token cost
~1k tokens
SKILL.md length
507 words
Files
2 (incl. references)
Skills in repo
42
Repo updated
First seen
Licence
Custom licence

At a glance

This skill should be used when the user asks about "writing conventions", "codebase context", "HARNESS.md context section", "convention documentation", "how to write enforceable rules", or needs…

  • Works in 3 steps: New team members read it to understand… → LLM agents read it as structured input… → The plugin reads it to understand what…
  • Asks about writing conventions
  • SKILL.md covers The Context Section of…, Writing Effective Conventions, Keeping Context Fresh and Additional Resources
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Context Engineering is an agent skill from Habitat-Thinking/ai-literacy-superpowers. This skill should be used when the user asks about "writing conventions", "codebase context", "HARNESS.md context section", "convention documentation", "how to write enforceable rules", or needs guidance on the Context section of HARNESS.md.

Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/convention-patterns.md`).

It sits in Agent Workflows, covering Context engineering and Codebase knowledge for agents. The repository describes itself as: A set of Claude Code and GitHub Copilot plugins providing the AI Literacy framework's complete development workflow — harness engineering, agent orchestration, literate….

When your agent uses it

  • Asks about writing conventions
  • Codebase context
  • HARNESS.md context section
  • Convention documentation

Example prompts

  • “writing conventions”
  • “codebase context”
  • “HARNESS.md context section”
  • “/context-engineering”

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. New team members read it to understand the project's stack and
  2. LLM agents read it as structured input when reviewing code or
  3. The plugin reads it to understand what tools might be appropriate

What it can do on your machine

Read from SKILL.md and the folder at commit 9d35995. 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

Context Engineering loads about 1k tokens when it runs, and up to ~2k if it reads all its reference files. Until then it costs about 65 tokens; SKILL.md has 507 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~65
When it runs · the whole SKILL.md, loaded when a task matches
~1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2k

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 507 words (~1,049 tokens).

“Context engineering is the practice of curating the knowledge an LLM needs to work effectively in a codebase. Good context makes the difference between an LLM that follows project conventions and one that generates plausible but inconsistent code.”

— opening of SKILL.md by Habitat-Thinking, Custom licence
name
context-engineering

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file (references) in ai-literacy-superpowers/skills/context-engineering of Habitat-Thinking/ai-literacy-superpowers.

  • SKILL.md
  • references/convention-patterns.md

Open the folder on GitHubat commit 9d35995

Compare with similar skills

Context Engineering 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.

Context Engineering compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Context Engineering this skillHabitat-Thinking/ai-literacy-superpowers114—~1kAutomated safety check: PassCustom licence
ccc Semantic Code Searchcocoindex-io/cocoindex-code2.7k—~938Automated safety check: PassApache-2.0
Context Engineeringabashev/vfs-s31069 repos~2.6kAutomated safety check: NotesApache-2.0
Repomix Codebase Packeryamadashy/repomix29k—~1.3kAutomated safety check: NotesMIT
MCP Code Search Tool SelectionContext-Engine-AI/Context-Engine402—~1.3kAutomated safety check: PassMIT
Repo Context Ledgergviiisen/repo-context-ledger105—~2.8kAutomated safety check: PassMIT

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Categories

Questions about Context Engineering

What does Context Engineering do?

This skill should be used when the user asks about "writing conventions", "codebase context", "HARNESS.md context section", "convention documentation", "how to write enforceable rules", or needs…. Context Engineering is an agent skill from Habitat-Thinking/ai-literacy-superpowers.md.

When should I use Context Engineering?

Context Engineering fits situations like: asks about writing conventions; codebase context; HARNESS.md context section; convention documentation.

How do I install Context Engineering in Claude Code?

Run `npx skills add Habitat-Thinking/ai-literacy-superpowers --skill context-engineering -a claude-code`. Or copy the skill folder (ai-literacy-superpowers/skills/context-engineering in Habitat-Thinking/ai-literacy-superpowers) into .claude/skills/context-engineering in your project. Claude Code loads it when a task matches its description.

How do I install Context Engineering in Codex?

Run `npx skills add Habitat-Thinking/ai-literacy-superpowers --skill context-engineering -a codex`. Or copy the skill folder (ai-literacy-superpowers/skills/context-engineering in Habitat-Thinking/ai-literacy-superpowers) into .agents/skills/context-engineering in your project. Codex loads it when a task matches its description.

Can I use Context Engineering 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 Habitat-Thinking/ai-literacy-superpowers --skill context-engineering -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/context-engineering, .gemini/skills/context-engineering, .github/skills/context-engineering and .opencode/skills/context-engineering in your project.

What does Context Engineering need to run?

SKILL.md names no scripts, command-line tools or credentials: Context Engineering is instructions for the agent only.

Does Context Engineering 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 Context Engineering 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 Context Engineering use?

Context Engineering has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Context Engineering use?

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. Its references folder adds about 903 tokens, read only when the agent opens those files.

What are the alternatives to Context Engineering?

Skills that share tags, products or a category with Context Engineering: ccc Semantic Code Search (cocoindex-io/cocoindex-code, 2.7k stars), Context Engineering (abashev/vfs-s3, 106 stars), Repomix Codebase Packer (yamadashy/repomix, 29k stars) and MCP Code Search Tool Selection (Context-Engine-AI/Context-Engine, 402 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Context Engineering?

Habitat-Thinking (a GitHub organization) maintains it in Habitat-Thinking/ai-literacy-superpowers, which has 114 GitHub stars. The repository holds 42 skills in this directory. The repository was last updated on September 20, 2026.

Source: Habitat-Thinking/ai-literacy-superpowers on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.