Diagnosing Superpowers Sessions
obra/superpowers
Investigates a session where Superpowers went wrong, reads the transcripts on disk and produces an evidence-cited report, optionally prepared as a bug report for the maintainers.
This skill should be used when the user asks to "assess AI literacy", "run an assessment", "check literacy level", "evaluate our AI collaboration", "where are we on the framework", or wants to…
$ npx skills add Habitat-Thinking/ai-literacy-superpowers --skill ai-literacy-assessment -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Habitat-Thinking/ai-literacy-superpowers ai-literacy-assessment --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/Habitat-Thinking/ai-literacy-superpowers.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ai-literacy-superpowers/skills/ai-literacy-assessment .claude/skills/ai-literacy-assessment && 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 "ai-literacy-assessment" agent skill from https://github.com/Habitat-Thinking/ai-literacy-superpowers/tree/main/ai-literacy-superpowers/skills/ai-literacy-assessment into .claude/skills/ai-literacy-assessment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-literacy-assessment", 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/Habitat-Thinking/ai-literacy-superpowers/tree/main/ai-literacy-superpowers/skills/ai-literacy-assessmentType 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 Habitat-Thinking/ai-literacy-superpowers --skill ai-literacy-assessment -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Habitat-Thinking/ai-literacy-superpowers ai-literacy-assessment --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Habitat-Thinking/ai-literacy-superpowers.git skills-src && mkdir -p .agents/skills && cp -r skills-src/ai-literacy-superpowers/skills/ai-literacy-assessment .agents/skills/ai-literacy-assessment && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ai-literacy-assessment" agent skill from https://github.com/Habitat-Thinking/ai-literacy-superpowers/tree/main/ai-literacy-superpowers/skills/ai-literacy-assessment into .agents/skills/ai-literacy-assessment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-literacy-assessment", 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 Habitat-Thinking/ai-literacy-superpowers --skill ai-literacy-assessment -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Habitat-Thinking/ai-literacy-superpowers ai-literacy-assessment --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Habitat-Thinking/ai-literacy-superpowers.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/ai-literacy-superpowers/skills/ai-literacy-assessment .cursor/skills/ai-literacy-assessment && 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 "ai-literacy-assessment" agent skill from https://github.com/Habitat-Thinking/ai-literacy-superpowers/tree/main/ai-literacy-superpowers/skills/ai-literacy-assessment into .cursor/skills/ai-literacy-assessment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-literacy-assessment", 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/Habitat-Thinking/ai-literacy-superpowers.git --path ai-literacy-superpowers/skills/ai-literacy-assessment--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 Habitat-Thinking/ai-literacy-superpowers --skill ai-literacy-assessment -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Habitat-Thinking/ai-literacy-superpowers ai-literacy-assessment --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Habitat-Thinking/ai-literacy-superpowers.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/ai-literacy-superpowers/skills/ai-literacy-assessment .gemini/skills/ai-literacy-assessment && 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 "ai-literacy-assessment" agent skill from https://github.com/Habitat-Thinking/ai-literacy-superpowers/tree/main/ai-literacy-superpowers/skills/ai-literacy-assessment into .gemini/skills/ai-literacy-assessment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-literacy-assessment", 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 Habitat-Thinking/ai-literacy-superpowers ai-literacy-assessmentInstalls 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 Habitat-Thinking/ai-literacy-superpowers --skill ai-literacy-assessment -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Habitat-Thinking/ai-literacy-superpowers.git skills-src && mkdir -p .github/skills && cp -r skills-src/ai-literacy-superpowers/skills/ai-literacy-assessment .github/skills/ai-literacy-assessment && 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 "ai-literacy-assessment" agent skill from https://github.com/Habitat-Thinking/ai-literacy-superpowers/tree/main/ai-literacy-superpowers/skills/ai-literacy-assessment into .github/skills/ai-literacy-assessment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-literacy-assessment", 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 Habitat-Thinking/ai-literacy-superpowers --skill ai-literacy-assessment -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Habitat-Thinking/ai-literacy-superpowers ai-literacy-assessment --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Habitat-Thinking/ai-literacy-superpowers.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/ai-literacy-superpowers/skills/ai-literacy-assessment .opencode/skills/ai-literacy-assessment && 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 "ai-literacy-assessment" agent skill from https://github.com/Habitat-Thinking/ai-literacy-superpowers/tree/main/ai-literacy-superpowers/skills/ai-literacy-assessment into .opencode/skills/ai-literacy-assessment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-literacy-assessment", 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.
ai-literacy-assessmentThis skill should be used when the user asks to "assess AI literacy", "run an assessment", "check literacy level", "evaluate our AI collaboration", "where are we on the framework", or wants to…
AI Literacy Assessment is an agent skill from Habitat-Thinking/ai-literacy-superpowers. This skill should be used when the user asks to "assess AI literacy", "run an assessment", "check literacy level", "evaluate our AI collaboration", "where are we on the framework", or wants to determine their team's AI literacy level using the ALCI instrument.
Its SKILL.md is about 3.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files (for example `references/assessment-template.md`, `references/habitat-discovery.md` and `references/operational-axes.md`).
It sits in Agent Workflows. 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….
7 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 9d35995. 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.
Hosts in commands or code, which the agent is likely to contact:
img.shields.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.
AI Literacy Assessment loads about 3.7k tokens when it runs, and up to ~13k if it reads all its reference files. Until then it costs about 71 tokens; SKILL.md has 1,818 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.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,818 words (~3,678 tokens).
“Assess a team's AI collaboration literacy level by combining observable evidence from the repository with clarifying questions, then produce a timestamped assessment document and a README badge.”
SKILL.md and 5 other files (references) in ai-literacy-superpowers/skills/ai-literacy-assessment of Habitat-Thinking/ai-literacy-superpowers.
Open the folder on GitHubat commit 9d35995
AI Literacy Assessment 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 |
|---|---|---|---|---|---|---|
| AI Literacy Assessment this skillHabitat-Thinking/ai-literacy-superpowers | 114 | — | ~3.7k | Automated safety check: Pass | Custom licence | |
| Diagnosing Superpowers Sessionsobra/superpowers | 297k | 3 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Grillingpietheinstrengholt/rssmonster | 564 | 31 repos | ~510 | Automated safety check: Pass | MIT | |
| CodeGraph Agent Evalcolbymchenry/codegraph | 74k | — | ~950 | Automated safety check: Pass | MIT | |
| Improvefossasia/eventyay-interpretation | 1.6k | 10 repos | ~3.7k | Automated safety check: Warn | MIT | |
| Loop Change Verifiercobusgreyling/loop-engineering | 11k | 1 repos | ~709 | Automated safety check: Pass | MIT |
obra/superpowers
Investigates a session where Superpowers went wrong, reads the transcripts on disk and produces an evidence-cited report, optionally prepared as a bug report for the maintainers.
pietheinstrengholt/rssmonster
Grill the user relentlessly about a plan, decision, or idea.
colbymchenry/codegraph
Benchmarks how much CodeGraph helps a coding agent on a real repository, comparing runs with and without it for a chosen local or published version.
fossasia/eventyay-interpretation
Survey any codebase as a senior advisor and produce prioritized, self-contained implementation plans for OTHER models/agents to execute.
cobusgreyling/loop-engineering
Acts as a skeptical checker for changes an implementer sub-agent made, running the tests, confirming the diff scope and returning approve, reject or escalate to a human.
kayba-ai/agentic-context-engine
Fetch pre-computed insights from the Kayba API and build a structured summary.
Habitat-Thinking/ai-literacy-superpowers
A skill your agent uses when acting as the adversarial spec reviewer — raises steel-manned objections across six categories before plan approval, requires evidence per objection, and discloses what…
Habitat-Thinking/ai-literacy-superpowers
A skill your agent uses when acting as the cadence governor — slices a raw task description into thin, end-to-end-complete pieces before any spec is written; produces a structured slicing record for…
Habitat-Thinking/ai-literacy-superpowers
A skill your agent uses when acting as the decision-archaeology agent — surfaces decisions a spec has made (including the silent ones), emits each material choice as a Henney-style pattern story for…
Habitat-Thinking/ai-literacy-superpowers
This skill should be used when the user asks to "add a constraint", "design a constraint", "write a harness rule", "choose enforcement type", "promote a constraint", "configure a verification slot"…
Habitat-Thinking/ai-literacy-superpowers
A skill your agent uses when the user wants to capture AI tool costs, review spending trends, set cost budgets, or integrate cost data into health snapshots — guides quarterly cost capture, records…
Habitat-Thinking/ai-literacy-superpowers
A skill your agent uses when coordinating changes across multiple repositories — syncing skills, templates, agents, or harness policies between upstream and downstream repos, or designing…
Categories
This skill should be used when the user asks to "assess AI literacy", "run an assessment", "check literacy level", "evaluate our AI collaboration", "where are we on the framework", or wants to…. AI Literacy Assessment is an agent skill from Habitat-Thinking/ai-literacy-superpowers. This skill should be used when the user asks to "assess AI literacy", "run an assessment", "check literacy level", "evaluate our AI collaboration", "where are we on the framework", or wants to determine their team's AI literacy level using the ALCI instrument.
AI Literacy Assessment fits situations like: asks to assess AI literacy; run an assessment; check literacy level; evaluate our AI collaboration.
Run `npx skills add Habitat-Thinking/ai-literacy-superpowers --skill ai-literacy-assessment -a claude-code`. Or copy the skill folder (ai-literacy-superpowers/skills/ai-literacy-assessment in Habitat-Thinking/ai-literacy-superpowers) into .claude/skills/ai-literacy-assessment in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Habitat-Thinking/ai-literacy-superpowers --skill ai-literacy-assessment -a codex`. Or copy the skill folder (ai-literacy-superpowers/skills/ai-literacy-assessment in Habitat-Thinking/ai-literacy-superpowers) into .agents/skills/ai-literacy-assessment 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 Habitat-Thinking/ai-literacy-superpowers --skill ai-literacy-assessment -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ai-literacy-assessment, .gemini/skills/ai-literacy-assessment, .github/skills/ai-literacy-assessment and .opencode/skills/ai-literacy-assessment in your project.
SKILL.md names no scripts, command-line tools or credentials: AI Literacy Assessment is instructions for the agent only. Our summary lists: Docker.
SKILL.md names 1 domain. In commands or code: img.shields.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.
AI Literacy Assessment has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 3.7k tokens (SKILL.md is roughly 15k 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 9.1k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with AI Literacy Assessment: Diagnosing Superpowers Sessions (obra/superpowers, 297k stars), Grilling (pietheinstrengholt/rssmonster, 564 stars), CodeGraph Agent Eval (colbymchenry/codegraph, 74k stars) and Improve (fossasia/eventyay-interpretation, 1.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.