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.
Apply Bloom's revised taxonomy to classify learning objectives and design assessments across six cognitive levels.
$ npx skills add asgard-ai-platform/skills --skill grad-blooms -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install asgard-ai-platform/skills grad-blooms --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/asgard-ai-platform/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/grad-blooms .claude/skills/grad-blooms && 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 "grad-blooms" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/grad-blooms into .claude/skills/grad-blooms/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "grad-blooms", 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/asgard-ai-platform/skills/tree/main/grad-bloomsType 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 asgard-ai-platform/skills --skill grad-blooms -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install asgard-ai-platform/skills grad-blooms --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/grad-blooms .agents/skills/grad-blooms && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "grad-blooms" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/grad-blooms into .agents/skills/grad-blooms/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "grad-blooms", 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 asgard-ai-platform/skills --skill grad-blooms -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install asgard-ai-platform/skills grad-blooms --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/grad-blooms .cursor/skills/grad-blooms && 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 "grad-blooms" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/grad-blooms into .cursor/skills/grad-blooms/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "grad-blooms", 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/asgard-ai-platform/skills.git --path grad-blooms--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 asgard-ai-platform/skills --skill grad-blooms -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install asgard-ai-platform/skills grad-blooms --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/grad-blooms .gemini/skills/grad-blooms && 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 "grad-blooms" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/grad-blooms into .gemini/skills/grad-blooms/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "grad-blooms", 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 asgard-ai-platform/skills grad-bloomsInstalls 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 asgard-ai-platform/skills --skill grad-blooms -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/grad-blooms .github/skills/grad-blooms && 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 "grad-blooms" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/grad-blooms into .github/skills/grad-blooms/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "grad-blooms", 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 asgard-ai-platform/skills --skill grad-blooms -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install asgard-ai-platform/skills grad-blooms --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/grad-blooms .opencode/skills/grad-blooms && 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 "grad-blooms" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/grad-blooms into .opencode/skills/grad-blooms/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "grad-blooms", 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.
grad-bloomsApply 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. 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.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 4e7f4f8. 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 (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From 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.
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.
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.
The full file from asgard-ai-platform/skills at commit 4e7f4f8, republished under its MIT licence (© asgard-ai-platform). 342 words, ~1,150 tokens.
.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.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.
Trigger conditions:
When NOT to use:
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.Classify the target knowledge: factual (terminology, details), conceptual (categories, principles), procedural (how-to, techniques), or metacognitive (self-awareness, strategies).
Choose the appropriate cognitive process level. Use action verbs that are observable and measurable for each level.
Combine: "Students will be able to [action verb] [knowledge content] [context/condition]." Ensure the verb matches the intended cognitive level.
Match assessment methods to the cognitive level. Remember/Understand → objective tests. Apply/Analyze → case studies, problem sets. Evaluate/Create → projects, portfolios, essays.
# 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}references/verb-taxonomy.mdreferences/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
SKILL.md and 3 other files (references) in grad-blooms of asgard-ai-platform/skills.
Open the folder on GitHubat commit 4e7f4f8
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Grad Blooms this skillasgard-ai-platform/skills | 242 | — | ~1.1k | Automated safety check: Pass | MIT | |
| 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 |
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.
THU-MAIC/OpenMAIC
Designs a review-and-practice lesson around an independent first attempt, targeted feedback, supported practice, a fresh independent check and a next step.
THU-MAIC/OpenMAIC
Plans a multi-classroom series such as a seven-day course, clarifies the brief in rounds, gets sign-off on the full lesson list, then builds each stage in a shared folder.
THU-MAIC/OpenMAIC
Plans online courses so learners manipulate simulations, diagrams, code, games or 3D scenes on most pages, with slides only for the opening and the close.
dair-ai/dair-academy-plugins
Help a user learn a topic through adaptive tutoring, lesson planning, practice, retrieval checks, explanations, study guides, or exercises.
THU-MAIC/OpenMAIC
Turns a concept or lesson material into a Feynman-style classroom where learners explain first, find their smallest gap, rebuild the idea and apply it somewhere new.
asgard-ai-platform/skills
Implement BM25 ranking function for e-commerce product search relevance scoring.
asgard-ai-platform/skills
Calculate Cpk process capability index to assess whether a process meets specification requirements.
asgard-ai-platform/skills
Calculate price elasticity of demand to quantify how price changes affect sales volume.
asgard-ai-platform/skills
Apply Bayesian averaging to rank items by combining observed ratings with prior expectations.
asgard-ai-platform/skills
Implement Elo rating system to rank items or players from pairwise comparison outcomes.
asgard-ai-platform/skills
Calculate Wilson Score confidence intervals for ranking items by positive proportion with sample size correction.
Categories
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.
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.
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.
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.
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.
SKILL.md names no scripts, command-line tools or credentials: Grad Blooms is instructions for the agent only.
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.
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.
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.
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.
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.
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.