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Agent skill

Math Progress Monitor

by parcadei in parcadei/Continuous-Claude-v3

Metacognitive check-ins during problem solving - detects when to pivot or persist

MITAuto-check passed

Install Math Progress Monitor

skills CLI
$ npx skills add parcadei/Continuous-Claude-v3 --skill math-progress-monitor -a claude-code

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

GitHub CLI
$ gh skill install parcadei/Continuous-Claude-v3 math-progress-monitor --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/parcadei/Continuous-Claude-v3.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/math/math-progress-monitor .claude/skills/math-progress-monitor && 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
math-progress-monitor
GitHub stars
3.9k
Used in
1 other repo
Token cost
~939 tokens
SKILL.md length
259 words
Files
1
Skills in repo
141
Repo updated
First seen
Licence
MIT

At a glance

Metacognitive check-ins during problem solving - detects when to pivot or persist

  • Works in 6 steps: Inventory attempts → Extract learnings → Complexity check → …
  • SKILL.md covers When to Use, Process, Key Questions to Ask and Output Format, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Math Progress Monitor is an agent skill from parcadei/Continuous-Claude-v3. Metacognitive check-ins during problem solving - detects when to pivot or persist

Its SKILL.md is about 940 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: Context management for Claude Code. Hooks maintain state via ledgers and handoffs. MCP execution without context pollution. Agent orchestration with isolated context windows. The licence is MIT.

Example prompts

  • “/math-progress-monitor”

Workflow steps

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

  1. Inventory attempts
  2. Extract learnings
  3. Complexity check
  4. Spot-check verification
  5. Decomposition check
  6. Sunk cost assessment

What it can do on your machine

Read from SKILL.md and the folder at commit d07ff4b. 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

Math Progress Monitor loads about 939 tokens when it runs. Until then it costs about 26 tokens; SKILL.md has 259 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~26
When it runs · the whole SKILL.md, loaded when a task matches
~939

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 parcadei/Continuous-Claude-v3 at commit d07ff4b, republished under its MIT licence (© parcadei). 259 words, ~939 tokens.

Download SKILL.mdSave it as .claude/skills/math-progress-monitor/SKILL.md (or your agent's skills folder).
name
math-progress-monitor
description
Metacognitive check-ins during problem solving - detects when to pivot or persist

Math Progress Monitor

When to Use

Trigger on phrases like:

  • "am I on the right track"
  • "is this approach working"
  • "I'm stuck"
  • "should I try something else"
  • "verify my progress"
  • "check my reasoning"
  • "is this getting too complicated"

Use mid-work to assess whether to continue, pivot, or decompose (Schoenfeld's metacognitive control).

Process

Run a structured progress assessment:

1. Inventory attempts

Ask: "What have you tried so far?"

  • List each approach
  • Order by when attempted
  • Note time spent
2. Extract learnings

Ask: "What did each attempt tell you?"

  • Even failures provide information
  • What was ruled out?
  • What patterns emerged?
3. Complexity check

Ask: "Is complexity growing faster than expected?"

  • Warning signs:
    • More terms than you started with
    • New variables appearing
    • Calculation getting messier
  • Normal: complexity stays flat or decreases
4. Spot-check verification

Ask: "Can you verify any intermediate results?"

  • Run numerical examples
  • Check limiting cases
  • Dimensional analysis
5. Decomposition check

Ask: "Is there a simpler sub-problem to solve first?"

  • Identify dependencies
  • Find stepping stones
  • Reduce scope
6. Sunk cost assessment

Ask: "What would abandoning this approach cost?"

  • Time already spent (irrelevant)
  • Insights that transfer (relevant)
  • Probability of success if continue

Key Questions to Ask

  1. What have you tried? (inventory)
  2. What did you learn? (extract)
  3. Is it getting simpler or harder? (complexity)
  4. Can you check a piece? (verify)
  5. What's the smallest step? (decompose)
  6. Should you pivot? (decide)

Output Format

Progress Assessment:

Status: [On track / Hitting resistance / Should pivot]

Attempts Summary:
1. [Approach] -> [Outcome/Learning]
2. [Approach] -> [Outcome/Learning]

Complexity Check:
- Expected: [what should this look like]
- Actual: [what it actually looks like]
- Verdict: [Normal / Warning / Abandon]

Verification Points:
- [Intermediate result to check]
- [Numerical test case]

Recommendation:
[Continue / Modify approach / Switch strategy / Decompose / Get more info]

If Pivoting:
- Alternative: [specific new approach]
- Why it might work: [reasoning]

Example Interaction

User: I've been trying to evaluate this integral for an hour

Claude: Let's do a progress check.

Q1: What have you tried?
> u-substitution with u = sin(x), then integration by parts twice.

Q2: What did each tell you?
> Substitution made it longer. Parts created a cycle.

Q3: Complexity now vs start?
> Much worse. Started with 3 terms, now have 8.

Complexity Check:
- Expected: Should simplify or stay similar
- Actual: 3 terms -> 8 terms after 2 techniques
- Verdict: WARNING - likely wrong approach

Let me verify an intermediate step...

[Runs sympy on original integral]

This integral has closed form using:
- Beta function (special function)
- Or contour integration

Recommendation: PIVOT

Your algebraic approaches won't simplify this pattern.

Alternative Approach:
1. Recognize: integral of sin^m(x) * cos^n(x)
2. Use Beta function identity
3. Or convert to complex exponentials

Related Skills:
- complex-analysis/contour-integrals
- numerical-methods/numerical-integration

Would you like the Beta function approach, or get a numerical answer first to verify?

Co-activates

When user is stuck, suggest:

  • math-intuition-builder - reset understanding
  • math-model-selector - if framework was wrong
  • math-mode - for verification computations
  • Relevant domain skill - for alternative approach

© parcadei, MIT. 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 .claude/skills/math/math-progress-monitor of parcadei/Continuous-Claude-v3.

Open the folder on GitHubat commit d07ff4b

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in parcadei/Continuous-Claude-v3, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Math Progress Monitor 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.

Math Progress Monitor compared with similar skills
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Math Progress Monitor this skillparcadei/Continuous-Claude-v33.9k1 repos~939Automated safety check: PassMIT
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Vc Problem Solvingwithkynam/vibecode-pro-max-kit1.1k1 repos~1.1kAutomated safety check: PassMIT
Threat Detectionalirezarezvani/claude-skills28k—~3.5kAutomated safety check: PassMIT
Is This A Problemanthropics/claude-for-legal9.6k2 repos~2.3kAutomated safety check: PassApache-2.0
Math Modeling Problem Analysisjihe520/MathModelAgent6.2k—~494Automated safety check: NotesNone

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Questions about Math Progress Monitor

What does Math Progress Monitor do?

Metacognitive check-ins during problem solving - detects when to pivot or persist. Math Progress Monitor is an agent skill from parcadei/Continuous-Claude-v3.

How do I install Math Progress Monitor in Claude Code?

Run `npx skills add parcadei/Continuous-Claude-v3 --skill math-progress-monitor -a claude-code`. Or copy the skill folder (.claude/skills/math/math-progress-monitor in parcadei/Continuous-Claude-v3) into .claude/skills/math-progress-monitor in your project. Claude Code loads it when a task matches its description.

How do I install Math Progress Monitor in Codex?

Run `npx skills add parcadei/Continuous-Claude-v3 --skill math-progress-monitor -a codex`. Or copy the skill folder (.claude/skills/math/math-progress-monitor in parcadei/Continuous-Claude-v3) into .agents/skills/math-progress-monitor in your project. Codex loads it when a task matches its description.

Can I use Math Progress Monitor 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 parcadei/Continuous-Claude-v3 --skill math-progress-monitor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/math-progress-monitor, .gemini/skills/math-progress-monitor, .github/skills/math-progress-monitor and .opencode/skills/math-progress-monitor in your project.

What does Math Progress Monitor need to run?

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

Does Math Progress Monitor 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 Math Progress Monitor 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 Math Progress Monitor use?

Math Progress Monitor 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 Math Progress Monitor use?

About 939 tokens (SKILL.md is roughly 3.8k 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 Math Progress Monitor?

Skills that share tags, products or a category with Math Progress Monitor: Math Olympiad (anthropics/claude-plugins-official, 38k stars), Vc Problem Solving (withkynam/vibecode-pro-max-kit, 1.1k stars), Threat Detection (alirezarezvani/claude-skills, 28k stars) and Is This A Problem (anthropics/claude-for-legal, 9.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Math Progress Monitor?

parcadei (a GitHub user) maintains it in parcadei/Continuous-Claude-v3, which has 3,943 GitHub stars. The repository holds 141 skills in this directory. The repository was last updated on January 26, 2026.

Source: parcadei/Continuous-Claude-v3 on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.