Metacognitive Prompt Library Agent Skill

Build a library of metacognitive prompts targeting planning, monitoring, or evaluation for a specific task.

Context cost
4.3k tokensestimated from the bundle, loaded when it triggers
Bundle
1 file · 17.1 kBtext throughout, nothing executable
Licence
Source-availablethe author’s own terms
Last change
—v1.0
Servers it uses
Noneruns standalone

What it does

Build a library of metacognitive prompts targeting planning, monitoring, or evaluation for a specific task. Use when developing students' thinking-about-thinking during independent work.

What this skill changes about the agent has not been set out here as a list. Its SKILL.md, shown below, says it in the author’s own words.

comprehensiondocumentationmetacognitionmonitoringpromptself-regulationthinking-about-thinking

The skill itself

A skill is instructions the model reads, so you can see what you are getting: below is the start of its SKILL.md. The front matter loads with every session, the body loads when the skill triggers, and the whole file comes with the install.

SKILL.md17.1 kB · preview
--- # AGENT SKILLS STANDARD FIELDS (v2) name: metacognitive-prompt-library disable-model-invocation: false user-invocable: true effort: medium # EXISTING FIELDS skill_id: "self-regulated-learning/metacognitive-prompt-library" skill_name: "Metacognitive Prompt Library" domain: "self-regulated-learning" version: "1.0" evidence_strength: "strong" evidence_sources: - "Flavell (1979) — Metacognition and cognitive monitoring: a new area of cognitive-developmental inquiry" - "Veenman et al. (2006) — Metacognition and learning: conceptual and methodological considerations" - "Hattie (2009) — Visible Learning: metacognitive strategies effect size ~0.69" - "Schraw (1998) — Promoting general metacognitive awareness" - "Tanner (2012) — Promoting student metacognition in the sciences" input_schema: required: - field: "task_description" type: "string" - field: "student_level" type: "string" - field: "metacognitive_focus" type: "string" optional: - field: "subject_area" type: "string" - field: "student_profiles" type: "array" - field: "task_phase" type: "string" output_schema: type: "object" fields: - field: "prompts" type: "array" - field: "teacher_script" type: "string" - field: "student_card" type: "string" chains_well_with: - "self-regulation-scaffold-generator" - "study-strategy-selector" - "error-analysis-protocol" - "elaborative-interrogation-generator" teacher_time: "3 minutes" tags: ["metacognition", "monitoring", "thinking-about-thinking", "self-regulation", "comprehension"] ---
64# Metacognitive Prompt Library
65
66## What This Skill Does
67
68Generates a calibrated set of metacognitive prompts for a specific learning task — prompts that help students monitor their own comprehension, evaluate their strategy effectiveness, detect errors, and adjust their approach. Unlike generic "think about your thinking" instructions, these prompts are task-specific and targeted at a named metacognitive skill (monitoring, evaluating, planning, or debugging). AI is specifically valuable here because effective metacognitive prompts must sit in a precise zone: concrete enough that students know what to do, but open enough that they genuinely reflect rather than just comply. Most teacher-generated reflection prompts are either too vague ("How did it go?") or too directive ("Did you use a topic sentence?"), missing the metacognitive level entirely.
69
70## Evidence Foundation
71
72Flavell (1979) defined metacognition as "knowledge and cognition about cognitive phenomena" — thinking about thinking. He distinguished metacognitive knowledge (what you know about your own cognition) from metacognitive regulation (how you control it). Veenman et al. (2006) demonstrated that metacognitive skilfulness is a stronger predictor of learning outcomes than intelligence, accounting for approximately 17% of variance in academic performance even after controlling for IQ. Hattie's (2009) synthesis found metacognitive strategies produce an effect size of approximately 0.69. Schraw (1998) identified that metacognitive awareness can be explicitly taught through structured prompting — students who regularly use metacognitive prompts develop stronger monitoring skills over time. Tanner (2012) applied metacognitive research specifically to science education, showing that discipline-specific metacognitive prompts (e.g., "What evidence would change my conclusion?") are more effective than generic ones. The evidence is clear: metacognition is teachable, transferable, and among the highest-leverage interventions available.
73
74## Input Schema
75
76The teacher must provide:
77- **Task description:** The specific task students are completing. *e.g. "Solving multi-step word problems in mathematics" / "Close reading and annotating a poem" / "Conducting a practical investigation in chemistry"*
78- **Student level:** Year group and metacognitive development. *e.g. "Year 8, limited metacognitive vocabulary" / "Year 12, familiar with metacognitive strategies"*
79- **Metacognitive focus:** Which skill to target. *e.g. "monitoring — students often think they understand but can't apply the concept" / "debugging — students make errors but can't identify where they went wrong"*
80
81Optional (injected by context engine if available):
82- **Subject area:** For domain-specific prompt calibration
This is a preview of SKILL.md. Download or install the skill to get the whole thing.
In the file
SKILL.md2,537 words
Files1
LicenceSource-available
Why you can read it

Nothing in a skill executes. The client loads the text and the model follows it, so a skill can be audited the way a runbook is — by reading it.

What it costs in context

Skills are not billed by the call. They are paid for in context: every token the instructions occupy is a token your code, your diff and your conversation cannot use. Here is what this one takes and when it takes it.

≈640
always loaded
The name and description, so the model knows the skill exists and when to reach for it.
3,635
on trigger
The instruction body, read only when the skill fires.
2.1%
of a 200k window
Ten skills this size would take about 21% of the window before you open a file.
050k100k150k200k context window

4.3k tokens, estimated from the bundle at four bytes to the token, held for the rest of the session once it triggers. Heavy. Teams tend to install this one per project rather than globally, and load it only when the job comes up.

Servers bill, skills cost

A server charges by the month. A skill charges once per session, in context, and then keeps charging it for as long as the session lives.

Before and after

The same question, put to the same model twice: once as it comes, and once with these instructions loaded.

No worked example has been published for this skill yet.

The procedure it runs

The procedure has not been set out here step by step. It is in the body of its SKILL.md: the start of it is shown above, and the whole file comes with the install.

Prose, not code

These steps are written for a model to follow, not executed by a runtime. It can still be told to skip one, and it will say so when it does.

Servers it uses

None. This skill calls no MCP servers at all.

Everything it needs is in the instructions, so it works in a project with nothing connected — the model reads the file and changes how it works with what it can already reach.

Its SKILL.md does not declare which tools it asks the agent for, so what it touches is whatever the instructions themselves ask for — read them before you install it.

What it asks for
Writes filesnot declared
Network accessnot declared

This SKILL.md carries no allowed-tools line, so neither is declared. A skill grants no permissions of its own — it can only ask for tools your client already has.

What it will not do

Every skill is narrow, and the useful ones say where they stop. These are the jobs this one is the wrong tool for.

What this skill is not for has not been published here. Nothing is implied by that: it is a section the author has not filled in.

What is in the bundle

1 file, 17.1 kB on disk. A bundle is text throughout: the instructions the model reads, plus the templates it fills in.

  • SKILL.md17.1 kB
What is not in it

No dependencies and nothing executable: a skill is text the agent reads, so the bundle is 1 file you can review in full before installing. The Source-available licence covers the templates and examples as well as the instructions.

Install

Installing copies the bundle into your project. Nothing runs at install time — the files sit on disk until the model reads them.

# Metacognitive Prompt Library · 4.3k tokens when loaded · macOS, Linux mkdir -p .claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/metacognitive-prompt-library/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/metacognitive-prompt-library" ] && { [ ! -e .claude/skills/metacognitive-prompt-library ] || { mv .claude/skills/metacognitive-prompt-library "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/metacognitive-prompt-library" .claude/skills/ && echo "Installed .claude/skills/metacognitive-prompt-library"
On Windows, or any OS with Node 20+
npx mcprush@latest skill add garethmanning/metacognitive-prompt-library

Windows PowerShell says 'running scripts is disabled on this system'? Run Set-ExecutionPolicy -Scope CurrentUser RemoteSigned once, or type npx.cmd instead of npx (codex.cmd, gemini.cmd, grok.cmd likewise). PowerShell 7 needs neither. Writes to .claude/skills/metacognitive-prompt-library/ in the current project. For every project instead, run mkdir -p ~/.claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/metacognitive-prompt-library/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/metacognitive-prompt-library" ] && { [ ! -e ~/.claude/skills/metacognitive-prompt-library ] || { mv ~/.claude/skills/metacognitive-prompt-library "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/metacognitive-prompt-library" ~/.claude/skills/ && echo "Installed ~/.claude/skills/metacognitive-prompt-library" (macOS, Linux) — or add --global to the npx line. The curl line replaces .claude/skills/metacognitive-prompt-library/ only after the download succeeds, so files left there by another skill of the same name, or by an older release, do not mix in. A copy already there is moved aside, not deleted, and the line prints where.

Which clients pick it up on their own

A skill is a folder of text. Most of these read a skills folder and pick it up without being told; the rest take the same folder another way — an upload in the app, a parameter on an API call — and then choose it by its description just the same.

Claude Code.claude/skills/
Claude DesktopCustomize › Skills
ChatGPTSkills › Create › Upload
Cursor.cursor/skills/
VS Code.github/skills/
Codex CLI.agents/skills/
Gemini CLI.gemini/skills/
Grok Build.grok/skills/
Microsoft CopilotSkills › Upload a skill
PerplexityComputer › Skills › Upload a skill
DeepSeek Harness.dsh/skills/
Zed.agents/skills/
Devin Desktop.devin/skills/
Windsurf (legacy).windsurf/skills/
OpenAI Agents SDKInstructions or sandbox Skills
HTTP / APIa request parameter
This release
Version1.0
Publishedno release date on file
PriceFree
Referencegarethmanning/metacognitive-prompt-library

Versions

v1.0 is what is on the shelf; no release here carries a date. Instructions change more often than APIs do — a skill can be rewritten entirely without anything it depends on moving.

v1.0
  • No earlier releases have been published to the marketplace.
Pinning

The install command always fetches the release that is current the day you run it — v1.0 today — and cannot ask for an earlier one. The copy on your disk does not change until you run it again.

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