Agent skill

Grad Blooms

by asgard-ai-platform in asgard-ai-platform/skills

Apply Bloom's revised taxonomy to classify learning objectives and design assessments across six cognitive levels.

MITAuto-check passedEducation

Install Grad Blooms

skills CLI
$ npx skills add asgard-ai-platform/skills --skill grad-blooms -a claude-code

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

GitHub CLI
$ gh skill install asgard-ai-platform/skills grad-blooms --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/asgard-ai-platform/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/grad-blooms .claude/skills/grad-blooms && 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
grad-blooms
GitHub stars
242
Token cost
~1.1k tokens
SKILL.md length
342 words
Files
4 (incl. references)
Skills in repo
207
Repo updated
First seen
Licence
MIT

At a glance

Apply Bloom's revised taxonomy to classify learning objectives and design assessments across six cognitive levels.

  • Works in 4 steps: Identify Knowledge Type → Select Cognitive Level → Write Objectives → …
  • The user needs to write learning objectives at specific cognitive levels
  • SKILL.md covers Overview, When to Use, Assumptions and Methodology, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Grad Blooms is an agent skill from asgard-ai-platform/skills. Apply Bloom's revised taxonomy to classify learning objectives and design assessments across six cognitive levels. Use this skill when the user needs to write learning objectives at specific cognitive levels, align assessment with instructional goals, or evaluate curriculum for cognitive complexity distribution — even if they say 'how to write learning objectives', 'what level of thinking does this require', or 'higher-order thinking skills'.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `examples/sample_scenario.md`, `references/alignment-matrix.md` and `references/verb-taxonomy.md`).

It sits in Education, covering Lesson planning. The repository describes itself as: 301 open-source coding agent skills across 22 domains — methodology, judgment & gotchas packaged as Claude Agent Skills for the Asgard AI Platform. The licence is MIT.

When your agent uses it

  • The user needs to write learning objectives at specific cognitive levels
  • Align assessment with instructional goals
  • Evaluate curriculum for cognitive complexity distribution — even if they say how to write learning objectives
  • What level of thinking does this require

Example prompts

  • “how to write learning objectives”
  • “what level of thinking does this require”
  • “higher-order thinking skills”
  • “/grad-blooms”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Identify Knowledge Type
  2. Select Cognitive Level
  3. Write Objectives
  4. Align Assessment

What it can do on your machine

Read from SKILL.md and the folder at commit 4e7f4f8. 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 (its code samples are markdown).

    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

Grad Blooms loads about 1.1k tokens when it runs, and up to ~8.3k if it reads all its reference files. Until then it costs about 115 tokens; SKILL.md has 342 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~115
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~8.3k

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 asgard-ai-platform/skills at commit 4e7f4f8, republished under its MIT licence (© asgard-ai-platform). 342 words, ~1,150 tokens.

Download SKILL.mdSave it as .claude/skills/grad-blooms/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
grad-blooms
description
Apply Bloom's revised taxonomy to classify learning objectives and design assessments across six cognitive levels. Use this skill when the user needs to write learning objectives at specific cognitive levels, align assessment with instructional goals, or evaluate curriculum for cognitive complexity distribution — even if they say 'how to write learning objectives', 'what level of thinking does this require', or 'higher-order thinking skills'.
metadata.category
WP-33 傳播/教育/公共行政
metadata.tags
education, blooms-taxonomy, learning-objectives, assessment

Bloom's Revised Taxonomy

Overview

Bloom's revised taxonomy (Anderson & Krathwohl, 2001) classifies cognitive processes into six hierarchical levels: Remember, Understand, Apply, Analyze, Evaluate, and Create. Combined with the knowledge dimension (factual, conceptual, procedural, metacognitive), it provides a two-dimensional framework for designing and assessing learning.

When to Use

Trigger conditions:

  • Writing learning objectives at specific cognitive levels
  • Aligning assessment methods with intended learning outcomes
  • Auditing curriculum for cognitive complexity balance

When NOT to use:

  • When designing scaffolded learning experiences (use constructivism / ZPD)
  • When managing cognitive load in instructional design (use cognitive load theory)
  • When integrating technology into teaching (use TPACK framework)

Assumptions

IRON LAW: Higher-Order Thinking REQUIRES a Foundation of Lower-Order Knowledge

You cannot analyze what you don't understand. You cannot evaluate
what you haven't analyzed. You cannot create without evaluation criteria.
The hierarchy is:
  Remember → Understand → Apply → Analyze → Evaluate → Create
Skipping levels produces superficial "higher-order" work built on
a weak knowledge foundation.

Methodology

Step 1: Identify Knowledge Type

Classify the target knowledge: factual (terminology, details), conceptual (categories, principles), procedural (how-to, techniques), or metacognitive (self-awareness, strategies).

Step 2: Select Cognitive Level

Choose the appropriate cognitive process level. Use action verbs that are observable and measurable for each level.

Step 3: Write Objectives

Combine: "Students will be able to [action verb] [knowledge content] [context/condition]." Ensure the verb matches the intended cognitive level.

Step 4: Align Assessment

Match assessment methods to the cognitive level. Remember/Understand → objective tests. Apply/Analyze → case studies, problem sets. Evaluate/Create → projects, portfolios, essays.

Output Format

markdown
# Learning Objectives Analysis: {Course/Module}

## Taxonomy Mapping
| Objective | Cognitive Level | Knowledge Type | Action Verb | Assessment Method |
|-----------|----------------|---------------|-------------|-------------------|
| ... | Remember/Understand/Apply/Analyze/Evaluate/Create | Factual/Conceptual/Procedural/Metacognitive | ... | ... |

## Cognitive Level Distribution
- Lower-order (Remember, Understand, Apply): {count, %}
- Higher-order (Analyze, Evaluate, Create): {count, %}
- Balance assessment: {adequate or needs adjustment}

## Alignment Check
- Objectives ↔ Instruction: {aligned / gaps}
- Objectives ↔ Assessment: {aligned / gaps}

## Recommendations
{Specific suggestions for improving cognitive level balance and alignment}

Gotchas

  • Verbs are ambiguous: "Understand" is not directly observable. Use specific verbs: "explain," "classify," "summarize." Multiple taxonomies map verbs to levels — they don't always agree.
  • Hierarchy is not rigid: The revised taxonomy acknowledges that the order between Evaluate and Create can vary. Some creative tasks don't require prior evaluation, and some evaluation doesn't require creation.
  • Higher ≠ better: Not all objectives should be at the Create level. Foundational courses legitimately emphasize Remember and Understand. The goal is APPROPRIATE level, not maximum level.
  • Culture of verb-matching: Swapping in a "higher" verb without changing the actual cognitive demand is cosmetic. "Analyze the definition" is still Remember if students just recite a memorized analysis.
  • Affective and psychomotor domains: Bloom's cognitive taxonomy is one of THREE domains. It doesn't address attitudes/values (affective) or physical skills (psychomotor).

References

  • For the complete verb list by level, see references/verb-taxonomy.md
  • For alignment matrices and assessment design, see references/alignment-matrix.md

© asgard-ai-platform, 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 3 other files (references) in grad-blooms of asgard-ai-platform/skills.

  • SKILL.md
  • examples/sample_scenario.md
  • references/alignment-matrix.md
  • references/verb-taxonomy.md

Open the folder on GitHubat commit 4e7f4f8

Compare with similar skills

Grad Blooms 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.

Grad Blooms compared with similar skills
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Grad Blooms this skillasgard-ai-platform/skills242—~1.1kAutomated safety check: PassMIT
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Zone of Proximal Development Practice LessonsTHU-MAIC/OpenMAIC40k—~1.1kAutomated safety check: PassMIT
Curriculum PlannerTHU-MAIC/OpenMAIC40k—~2.8kAutomated safety check: PassMIT
Deep Interactive Course DesignTHU-MAIC/OpenMAIC40k—~681Automated safety check: PassMIT
Learndair-ai/dair-academy-plugins6142 repos~1.3kAutomated safety check: PassMIT

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Categories

Questions about Grad Blooms

What does Grad Blooms do?

Apply Bloom's revised taxonomy to classify learning objectives and design assessments across six cognitive levels. Grad Blooms is an agent skill from asgard-ai-platform/skills. Apply Bloom's revised taxonomy to classify learning objectives and design assessments across six cognitive levels.

When should I use Grad Blooms?

Grad Blooms fits situations like: the user needs to write learning objectives at specific cognitive levels; align assessment with instructional goals; evaluate curriculum for cognitive complexity distribution — even if they say how to write learning objectives; what level of thinking does this require.

How do I install Grad Blooms in Claude Code?

Run `npx skills add asgard-ai-platform/skills --skill grad-blooms -a claude-code`. Or copy the skill folder (grad-blooms in asgard-ai-platform/skills) into .claude/skills/grad-blooms in your project. Claude Code loads it when a task matches its description.

How do I install Grad Blooms in Codex?

Run `npx skills add asgard-ai-platform/skills --skill grad-blooms -a codex`. Or copy the skill folder (grad-blooms in asgard-ai-platform/skills) into .agents/skills/grad-blooms in your project. Codex loads it when a task matches its description.

Can I use Grad Blooms 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 asgard-ai-platform/skills --skill grad-blooms -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/grad-blooms, .gemini/skills/grad-blooms, .github/skills/grad-blooms and .opencode/skills/grad-blooms in your project.

What does Grad Blooms need to run?

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

Does Grad Blooms 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 Grad Blooms 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 Grad Blooms use?

Grad Blooms 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 Grad Blooms use?

About 1.1k tokens (SKILL.md is roughly 4.6k 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 7.2k tokens, read only when the agent opens those files.

What are the alternatives to Grad Blooms?

Skills that share tags, products or a category with Grad Blooms: 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 Grad Blooms?

asgard-ai-platform (a GitHub organization) maintains it in asgard-ai-platform/skills, which has 242 GitHub stars. The repository holds 207 skills in this directory. The repository was last updated on June 6, 2026.

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