K-12 Core Literacy Lesson Design
THU-MAIC/OpenMAIC
Designs a Chinese K-12 classroom for one OpenMAIC stage around the core-literacy model, using authentic tasks, performance assessment and observable evidence.
A specialized skill for question design and learning level analysis using Bloom's Taxonomy of Educational Objectives.
Install Bloom Taxonomy Engine
$ npx skills add revfactory/harness-100 --skill bloom-taxonomy-engine -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install revfactory/harness-100 bloom-taxonomy-engine --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/revfactory/harness-100.git skills-src && mkdir -p .claude/skills && cp -r skills-src/en/57-exam-prep/.claude/skills/bloom-taxonomy-engine .claude/skills/bloom-taxonomy-engine && 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 "bloom-taxonomy-engine" agent skill from https://github.com/revfactory/harness-100/tree/main/en/57-exam-prep/.claude/skills/bloom-taxonomy-engine into .claude/skills/bloom-taxonomy-engine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bloom-taxonomy-engine", 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/revfactory/harness-100/tree/main/en/57-exam-prep/.claude/skills/bloom-taxonomy-engineType 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 revfactory/harness-100 --skill bloom-taxonomy-engine -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install revfactory/harness-100 bloom-taxonomy-engine --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .agents/skills && cp -r skills-src/en/57-exam-prep/.claude/skills/bloom-taxonomy-engine .agents/skills/bloom-taxonomy-engine && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "bloom-taxonomy-engine" agent skill from https://github.com/revfactory/harness-100/tree/main/en/57-exam-prep/.claude/skills/bloom-taxonomy-engine into .agents/skills/bloom-taxonomy-engine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bloom-taxonomy-engine", 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 revfactory/harness-100 --skill bloom-taxonomy-engine -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install revfactory/harness-100 bloom-taxonomy-engine --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/en/57-exam-prep/.claude/skills/bloom-taxonomy-engine .cursor/skills/bloom-taxonomy-engine && 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 "bloom-taxonomy-engine" agent skill from https://github.com/revfactory/harness-100/tree/main/en/57-exam-prep/.claude/skills/bloom-taxonomy-engine into .cursor/skills/bloom-taxonomy-engine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bloom-taxonomy-engine", 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/revfactory/harness-100.git --path en/57-exam-prep/.claude/skills/bloom-taxonomy-engine--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 revfactory/harness-100 --skill bloom-taxonomy-engine -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install revfactory/harness-100 bloom-taxonomy-engine --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/en/57-exam-prep/.claude/skills/bloom-taxonomy-engine .gemini/skills/bloom-taxonomy-engine && 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 "bloom-taxonomy-engine" agent skill from https://github.com/revfactory/harness-100/tree/main/en/57-exam-prep/.claude/skills/bloom-taxonomy-engine into .gemini/skills/bloom-taxonomy-engine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bloom-taxonomy-engine", 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 revfactory/harness-100 bloom-taxonomy-engineInstalls 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 revfactory/harness-100 --skill bloom-taxonomy-engine -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .github/skills && cp -r skills-src/en/57-exam-prep/.claude/skills/bloom-taxonomy-engine .github/skills/bloom-taxonomy-engine && 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 "bloom-taxonomy-engine" agent skill from https://github.com/revfactory/harness-100/tree/main/en/57-exam-prep/.claude/skills/bloom-taxonomy-engine into .github/skills/bloom-taxonomy-engine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bloom-taxonomy-engine", 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 revfactory/harness-100 --skill bloom-taxonomy-engine -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install revfactory/harness-100 bloom-taxonomy-engine --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/en/57-exam-prep/.claude/skills/bloom-taxonomy-engine .opencode/skills/bloom-taxonomy-engine && 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 "bloom-taxonomy-engine" agent skill from https://github.com/revfactory/harness-100/tree/main/en/57-exam-prep/.claude/skills/bloom-taxonomy-engine into .opencode/skills/bloom-taxonomy-engine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bloom-taxonomy-engine", 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
bloom-taxonomy-engine- GitHub stars
- 1.3k
- Token cost
- ~1.2k tokens
- SKILL.md length
- 368 words
- Files
- 1
- Skills in repo
- 464
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
A specialized skill for question design and learning level analysis using Bloom's Taxonomy of Educational Objectives.
- Tasks that involve Lesson planning
- SKILL.md covers Target Agents, Bloom's Cognitive Domain — 6…, Per-Level Question Design Guide and Bloom Distribution Guide by…, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Bloom Taxonomy Engine is an agent skill from revfactory/harness-100. A specialized skill for question design and learning level analysis using Bloom's Taxonomy of Educational Objectives. Used by examiner and learning-designer agents when creating questions at various cognitive levels and hierarchizing learning objectives. Automatically applied in contexts such as 'Bloom's Taxonomy', 'cognitive levels', 'question design', 'learning objective classification', 'higher-order thinking'. However, official curriculum certification and school curriculum planning are outside the scope of…
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Education, covering Lesson planning. The licence is Apache-2.0.
When your agent uses it
- Tasks that involve Lesson planning
Example prompts
- “s Taxonomy”
- “cognitive levels”
- “question design”
- “/bloom-taxonomy-engine”
What it can do on your machine
Read from SKILL.md and the folder at commit 8e8d35c. 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
Bloom Taxonomy Engine loads about 1.2k tokens when it runs. Until then it costs about 138 tokens; SKILL.md has 368 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 revfactory/harness-100 at commit 8e8d35c, republished under its Apache-2.0 licence (© revfactory). 368 words, ~1,164 tokens.
Download SKILL.mdSave it as
.claude/skills/bloom-taxonomy-engine/SKILL.md (or your agent's skills folder).- name
- bloom-taxonomy-engine
- description
- A specialized skill for question design and learning level analysis using Bloom's Taxonomy of Educational Objectives. Used by examiner and learning-designer agents when creating questions at various cognitive levels and hierarchizing learning objectives. Automatically applied in contexts such as 'Bloom's Taxonomy', 'cognitive levels', 'question design', 'learning objective classification', 'higher-order thinking'. However, official curriculum certification and school curriculum planning are outside the scope of this skill.
Bloom Taxonomy Engine — Cognitive-Level Question Design Tool
A specialized skill that enhances the examiner and learning-designer agents' question design capabilities.
Target Agents
- examiner — Cognitive-level question creation, difficulty balancing
- learning-designer — Learning objective hierarchization, level-appropriate activity design
Bloom's Cognitive Domain — 6 Levels
Revised Bloom's Taxonomy (Anderson & Krathwohl, 2001)
| Level | Cognitive Level | Definition | Key Verbs |
|---|---|---|---|
| 1 | Remember | Recall facts and concepts | List, define, identify, memorize |
| 2 | Understand | Grasp meaning, explain | Explain, summarize, classify, compare |
| 3 | Apply | Execute procedures, use knowledge | Use, calculate, execute, solve |
| 4 | Analyze | Break into components, find relationships | Distinguish, deconstruct, organize, attribute |
| 5 | Evaluate | Judge based on criteria | Judge, critique, justify, verify |
| 6 | Create | Produce something new | Design, construct, plan, produce |
Per-Level Question Design Guide
Level 1: Remember
Item types: Multiple choice, true/false, term matching
Example:
Q: Which of the following belongs to the transport layer of the TCP/IP protocol?
(a) HTTP (b) TCP (c) IP (d) ARPRecommended proportion: 15-20% of the exam
Level 2: Understand
Item types: Interpretive multiple choice, short answer, comparison
Example:
Q: Explain the differences between TCP and UDP in terms of reliability and speed.Recommended proportion: 20-25%
Level 3: Apply
Item types: Calculation problems, code writing, case application
Example:
Q: Calculate the number of usable hosts for a subnet mask of 255.255.255.192.Recommended proportion: 25-30%
Level 4: Analyze
Item types: Case analysis, log analysis, comparative analysis
Example:
Q: Analyze the following network failure log and deduce the cause.Recommended proportion: 15-20%
Level 5: Evaluate
Item types: Judgment essays, design comparison evaluation
Example:
Q: Evaluate which of the two database designs below is more suitable
from the perspectives of normalization, performance, and maintainability.Recommended proportion: 5-10%
Level 6: Create
Item types: Design problems, projects, comprehensive essays
Example:
Q: Design a system architecture that meets the following requirements.Recommended proportion: 5-10%
Show full SKILL.md (169 more words)Show less
Bloom Distribution Guide by Exam Type
| Exam Type | Remember | Understand | Apply | Analyze | Evaluate | Create |
|---|---|---|---|---|---|---|
| Certification (written) | 30% | 30% | 25% | 10% | 5% | 0% |
| Certification (practical) | 5% | 15% | 40% | 25% | 10% | 5% |
| Standardized tests | 20% | 25% | 25% | 20% | 10% | 0% |
| Graduate exams | 10% | 15% | 20% | 25% | 20% | 10% |
| Civil service exams | 35% | 30% | 20% | 10% | 5% | 0% |
Learning Activity Design (for learning-designer)
Effective Activities by Bloom Level
| Level | Learning Activity | Tools/Methods |
|---|---|---|
| Remember | Flashcards, repeated reading, summary notes | SRS, mind maps |
| Understand | Explain in own words, create examples | Feynman technique, analogies |
| Apply | Practice problems, hands-on exercises | Drills, coding assignments |
| Analyze | Case analysis, comparison table creation | Matrices, diagrams |
| Evaluate | Discussion, peer review, critique writing | Rubric-based assessment |
| Create | Projects, design work, presentations | PBL, portfolios |
Question Quality Verification Checklist
- Is each item tagged with its Bloom level?
- Does the overall Bloom distribution match the exam's purpose?
- Are higher-order thinking items (Analyze + Evaluate + Create) at least 30%?
- Is there no cue leakage between items (one item hinting at another's answer)?
- Are distractors plausible (attractive wrong answers)?
© revfactory, 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
Files
Just SKILL.md in en/57-exam-prep/.claude/skills/bloom-taxonomy-engine of revfactory/harness-100.
Open the folder on GitHubat commit 8e8d35c
Compare with similar skills
Bloom Taxonomy Engine 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 |
|---|---|---|---|---|---|---|
| Bloom Taxonomy Engine this skillrevfactory/harness-100 | 1.3k | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | |
| K-12 Core Literacy Lesson DesignTHU-MAIC/OpenMAIC | 40k | — | ~2.4k | Automated safety check: Pass | MIT | |
| Zone of Proximal Development Practice LessonsTHU-MAIC/OpenMAIC | 40k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Curriculum PlannerTHU-MAIC/OpenMAIC | 40k | — | ~2.8k | Automated safety check: Pass | MIT | |
| Deep Interactive Course DesignTHU-MAIC/OpenMAIC | 40k | — | ~681 | Automated safety check: Pass | MIT | |
| Learndair-ai/dair-academy-plugins | 614 | 2 repos | ~1.3k | Automated safety check: Pass | MIT |
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Categories
Questions about Bloom Taxonomy Engine
What does Bloom Taxonomy Engine do?
A specialized skill for question design and learning level analysis using Bloom's Taxonomy of Educational Objectives. Bloom Taxonomy Engine is an agent skill from revfactory/harness-100. A specialized skill for question design and learning level analysis using Bloom's Taxonomy of Educational Objectives.
When should I use Bloom Taxonomy Engine?
Bloom Taxonomy Engine fits situations like: tasks that involve Lesson planning.
How do I install Bloom Taxonomy Engine in Claude Code?
Run `npx skills add revfactory/harness-100 --skill bloom-taxonomy-engine -a claude-code`. Or copy the skill folder (en/57-exam-prep/.claude/skills/bloom-taxonomy-engine in revfactory/harness-100) into .claude/skills/bloom-taxonomy-engine in your project. Claude Code loads it when a task matches its description.
How do I install Bloom Taxonomy Engine in Codex?
Run `npx skills add revfactory/harness-100 --skill bloom-taxonomy-engine -a codex`. Or copy the skill folder (en/57-exam-prep/.claude/skills/bloom-taxonomy-engine in revfactory/harness-100) into .agents/skills/bloom-taxonomy-engine in your project. Codex loads it when a task matches its description.
Can I use Bloom Taxonomy Engine 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 revfactory/harness-100 --skill bloom-taxonomy-engine -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/bloom-taxonomy-engine, .gemini/skills/bloom-taxonomy-engine, .github/skills/bloom-taxonomy-engine and .opencode/skills/bloom-taxonomy-engine in your project.
What does Bloom Taxonomy Engine need to run?
SKILL.md names no scripts, command-line tools or credentials: Bloom Taxonomy Engine is instructions for the agent only.
Does Bloom Taxonomy Engine 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 Bloom Taxonomy Engine 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 Bloom Taxonomy Engine use?
Bloom Taxonomy Engine 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.
How many tokens does Bloom Taxonomy Engine use?
About 1.2k tokens (SKILL.md is roughly 4.7k 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 Bloom Taxonomy Engine?
Skills that share tags, products or a category with Bloom Taxonomy Engine: K-12 Core Literacy Lesson Design (THU-MAIC/OpenMAIC, 40k stars), Zone of Proximal Development Practice Lessons (THU-MAIC/OpenMAIC, 40k stars), Curriculum Planner (THU-MAIC/OpenMAIC, 40k stars) and Deep Interactive Course Design (THU-MAIC/OpenMAIC, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Bloom Taxonomy Engine?
revfactory (a GitHub user) maintains it in revfactory/harness-100, which has 1,290 GitHub stars. The repository holds 464 skills in this directory. The repository was last updated on March 22, 2026.
Source: revfactory/harness-100 on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.