The results-analysis lens: turn a finished results store into settled claims, mechanism evidence, and paper-grade figures — for any field running experiments to publish (ML, optimization, operations research, systems). Use when the runs are done and you are analyzing the results, or stress-testing an analysis. The one shift: analysis is NOT "compute a mean and see who is bigger" — it is audit, attribution, and the language of evidence. You audit before you read (a too-good number is a bug until proven otherwise); you prove WHY the method wins with mechanism probes; and you defend against the garden of forking paths, which the agent era amplifies because cheap experiments make cheating cheap. Triggers on "analyze the results", "read the main table / the ablation", "is this result significant / real / statistical test / effect size", "which is better", "make the figures / plots", "interpret these numbers / why does my method work", "the result looks too good", "review my results / write up".
Reckoning sits in the Science & Research category under the math-stats sub-topic in the ClaudSkills catalog. There are 10 related skills indexed alongside it; comparing a few before installing usually reveals which fits your workflow best.
These notes are auto-generated from features detected in the SKILL.md file and from this catalog's structure — they aren't part of the source repository.
From the source SKILL.md
<!-- Copyright 2026 IamK77 — Licensed under the Apache License, Version 2.0. See ./LICENSE and ./NOTICE · https://www.apache.org/licenses/LICENSE-2.0 -->
What this skill does
Reckoning is a community-contributed Claude Code skill in the math-stats sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/reckoning/ and loads when your prompt matches the skill's trigger.
When to invoke it: Use when the runs are done and you are analyzing the results, or stress-testing an analysis. The one shift: analysis is NOT "compute a mean and see who is bigger" — it is audit, attribution, and the language of evidence.
Who uses this skill
The Reckoning Claude Code skill is built for researchers, data scientists, academics, and analysts working with complex data and scientific literature. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 146,000+ SKILL.md files for Anthropic's Claude Code agent and the wider Claude ecosystem (Claude API, Claude Agent SDK).
Or just download SKILL.md directly and drop it into ~/.claude/skills/reckoning/. Claude Code auto-discovers it on next session.
Skills live at ~/.claude/skills/reckoning/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\reckoning\SKILL.md on Windows. See the full install guide for step-by-step instructions.
Telegram
📱 Install from your phone or desktop Telegram
Open @claudskills_bot on Telegram, tap Open Desktop App, and the desktop app installs this skill for you. Or share the bot link with a colleague — they get the same one-tap install. Learn more →
Pro
One-click install via the desktop app
The ClaudSkills desktop app installs any skill directly into ~/.claude/skills/ with one click — no terminal required. Pro starts at $9/mo or $149 lifetime.
Pro
For the full experience including quality scoring and one-click install features for each skill — upgrade to Pro.
Install via the ClaudSkills desktop app (one click) or copy SKILL.md from the source repository to ~/.claude/skills/reckoning/SKILL.md and restart Claude Code. Both flows are detailed at claudskills.com/install/.
What does the Reckoning skill do?
The results-analysis lens: turn a finished results store into settled claims, mechanism evidence, and paper-grade figures — for any field running experiments to publish (ML, optimization, operations research, systems). Use when the runs are done and you are analyzing the results, or stress-testing an analysis. The one shift: analysis is NOT "compute a mean and see who is bigger" — it is audit, attribution, and the language of evidence. You audit before you read (a too-good number is a bug until proven otherwise); you prove WHY the method wins with mechanism probes; and you defend against the garden of forking paths, which the agent era amplifies because cheap experiments make cheating cheap. Triggers on "analyze the results", "read the main table / the ablation", "is this result significant / real / statistical test / effect size", "which is better", "make the figures / plots", "interpret these numbers / why does my method work", "the result looks too good", "review my results / write up".
Is this skill free to install?
Yes. ClaudSkills is an open registry — every skill keeps its source repository's license, and manual install via copy is free. ClaudSkills Pro ($9/mo, $79/yr, or $149 one-time) adds one-click install via the desktop app and a multi-signal Quality Score.
When should I use the Reckoning skill?
Use Reckoning when your Claude Code task falls under the Science & Research category — specifically in the math stats area. Claude Code auto-discovers installed skills and invokes the right one based on the task description, so you can also ask Claude directly (e.g. "use Reckoning" or describe the task and let Claude pick). Browse related skills at /category/science/.
What is a Claude Code skill and how does the Reckoning skill fit in?
A Claude Code skill is a SKILL.md file that lives under ~/.claude/skills/<name>/ and tells the Claude Code CLI agent how to perform a specific task (instructions, prompts, allowed tools). Skills are auto-discovered at session start. Reckoning is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the Science & Research category. Learn more at /learn/what-is-a-claude-skill/.
@misc{reckoning-2026,
author = {IamK77},
title = {Reckoning [Claude Code skill]},
year = {2026},
publisher = {ClaudSkills},
url = {https://claudskills.com/skills/reckoning/}
}
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