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AI EngineeringPython

Reckoning

by juanandresgs

Reckoning is an AI Engineering skill for Claude Code, published by juanandresgs in claude-ctrl.

192 stars28 forkson juanandresgs/claude-ctrlAdded 2026/09/06Repository updated 2026/08/07
ai-codingclaude-codeclaude-code-configclaude-code-hooksdeprecateddeveloper-toolsmulti-agentsdlcsoftware-engineeringunmaintained
Install in seconds
Install Reckoning
Copy Reckoning into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/juanandresgs/claude-ctrl/tree/main/skills/reckoning ~/.claude/skills/reckoning

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/juanandresgs/claude-ctrl.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
skills/reckoning/SKILL.md in juanandresgs/claude-ctrl
Installs to
~/.claude/skills/reckoning
Collection
One of 10 skills cataloged from this repository
Category
AI Engineering3278 skills

What Reckoning does

Reckoning analyzes a project's MASTER_PLAN.md to assess coherence, intent alignment, and how the plan has evolved. Use it to compare trajectory, spot scope drift, or turn findings into actionable work.

Reckoning is cataloged under AI Engineering on DirSkills. Reckoning comes from a repository tagged ai-coding, claude-code, claude-code-config, claude-code-hooks and deprecated.

Documentation

README

/reckoning — Project Trajectory & Coherence Assessment

Analyze a project's MASTER_PLAN.md to understand the core of the project, the evolution of the idea, its development trajectory, whether the idea has evolved constructively or diverged from core intent, and produce an honest assessment in light of those findings.

Why this exists: The planner creates plans. The implementer follows them. The guardian protects them. Nobody evaluates whether the whole trajectory makes sense. The reckoning is the missing function — the project's honest self-exam. It tells you whether your project has a soul and whether that soul has been honored.

This is the opening of the README. Read the full README on GitHub.

Commands Reckoning provides

Slash commands named in this skill’s SKILL.md, listed in the order they first appear.

  • /reckoning
  • /deep-research

Frequently asked about Reckoning

  • What else does juanandresgs publish alongside Reckoning?

    Reckoning is one of 10 skills that DirSkills catalogs from juanandresgs/claude-ctrl, the repository it ships in. Its siblings there include Codex Result Handling, Codex Runtime and Context Preservation. Each one is a separate skill with its own page in this directory, installs the same way Reckoning does, and is maintained by juanandresgs in that same repository. The rest of the collection is listed on the juanandresgs/claude-ctrl page.

  • How does Reckoning compare to other AI Engineering skills?

    Reckoning ranks #2916 by stars among the 3278 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Reckoning against them. Open each page to compare what they document and how they install.

More from juanandresgs/claude-ctrl

Reckoning is one of 10 skills cataloged on DirSkills from juanandresgs/claude-ctrl.

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Context Preservation

Context Preservation generates structured session summaries before compaction so work can resume without losing goals, changes, decisions, or next steps. Use it when a Claude Code session is about to be compacted or needs a handoff.
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Decide

Decide generates interactive configurators for complex trade-off decisions from research, plans, or conversation context. It is used when options have costs, dependencies, and multiple criteria to compare.
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Deep Research

Deep Research queries OpenAI, Perplexity, and Gemini in parallel for a topic and compares their findings. Use it when you need a synthesized research summary with agreements, disagreements, and unique insights.
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GPT-5.4 Prompting

GPT-5.4 Prompting gives rules and reusable blocks for writing compact Codex and GPT-5.4 prompts for coding, review, diagnosis, and research tasks. Use it when you need to structure a prompt with clear output, verification, and grounding constraints.
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