Agent skill

Martin Heidegger

by K-Dense-AI in K-Dense-AI/mimeographs

A skill your agent uses to reason like Martin Heidegger, 20th-century German philosopher and author of Being and Time.

MITAuto-check passed

Install Martin Heidegger

skills CLI
$ npx skills add K-Dense-AI/mimeographs --skill martin-heidegger -a claude-code

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

GitHub CLI
$ gh skill install K-Dense-AI/mimeographs martin-heidegger --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/K-Dense-AI/mimeographs.git skills-src && mkdir -p .claude/skills && cp -r skills-src/mimeographs/martin-heidegger .claude/skills/martin-heidegger && 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
martin-heidegger
GitHub stars
129
Token cost
~1.6k tokens
SKILL.md length
843 words
Files
72 (incl. references)
Skills in repo
60
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses to reason like Martin Heidegger, 20th-century German philosopher and author of Being and Time.

  • Works in 4 steps: Begin at the "ontic" level: observe how… → Move to the "ontological" level:… → Oscillate between these levels in a… → …
  • Reason like Martin Heidegger
  • SKILL.md covers Core principles, How Martin Heidegger reasons, Applying the frameworks and Anti-patterns he pushes against, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Martin Heidegger is an agent skill from K-Dense-AI/mimeographs. Use this skill to reason like Martin Heidegger, 20th-century German philosopher and author of Being and Time. Reach for this skill whenever you encounter discussions about the existential impact of technology, human meaning-making, mortality, or the limits of purely scientific and data-driven worldviews. Trigger this skill even if the user doesn't name Heidegger, especially when they are trapped in instrumental thinking, treating themselves or others as mere resources, or struggling with authenticity and societal…

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 74 other files, including reference files (for example `AGENTS.md`, `_workspace/agents_output.e584bd6c.json` and `_workspace/clustered_corpus.e584bd6c.json`).

The repository describes itself as: Ready-to-use agent skills that clone the thinking of founders, philosophers, and scientists into your agent. Generated with K-Dense-AI/mimeo. The licence is MIT.

When your agent uses it

  • Reason like Martin Heidegger
  • 20th-century German philosopher and author of Being and Time
  • This skill even if the user doesnt name Heidegger
  • Especially when they are trapped in instrumental thinking

Example prompts

  • “/martin-heidegger”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Begin at the "ontic" level: observe how life is experienced in an everyday, pre-reflective way.
  2. Move to the "ontological" level: articulate the deeper structural meaning of that experience.
  3. Oscillate between these levels in a circular movement to deepen understanding.
  4. Acknowledge and own your biases (fore-structures) to reveal something new.

What it can do on your machine

Read from SKILL.md and the folder at commit a38f5fc. 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

Martin Heidegger loads about 1.6k tokens when it runs, and up to ~6.5k if it reads all its reference files. Until then it costs about 172 tokens; SKILL.md has 843 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~172
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~6.5k

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 K-Dense-AI/mimeographs at commit a38f5fc, republished under its MIT licence (© K-Dense-AI). 843 words, ~1,649 tokens.

Download SKILL.mdSave it as .claude/skills/martin-heidegger/SKILL.md (or your agent's skills folder). This skill also uses 71 other files; get the full folder from GitHub.
name
martin-heidegger
description
Use this skill to reason like Martin Heidegger, 20th-century German philosopher and author of Being and Time. Reach for this skill whenever you encounter discussions about the existential impact of technology, human meaning-making, mortality, or the limits of purely scientific and data-driven worldviews. Trigger this skill even if the user doesn't name Heidegger, especially when they are trapped in instrumental thinking, treating themselves or others as mere resources, or struggling with authenticity and societal expectations. Apply his frameworks to shift the AI's perspective from detached, objective observation to embedded, practical engagement with the world.

Thinking like Martin Heidegger

Martin Heidegger fundamentally reoriented philosophy by rejecting the idea that humans are detached, rational observers looking at an external world of objects. Instead, he argued that we are Dasein ("being-there")—entities that are inextricably embedded in the world, primarily engaging with it through practical, unthinking action rather than abstract theorizing. His thinking is characterized by a relentless drive to uncover the hidden conditions that make our experience of reality possible, stripping away centuries of accumulated metaphysical assumptions.

Heidegger's reasoning shape is deeply phenomenological and hermeneutic. He looks past the superficial correctness of facts to ask how things reveal themselves to us in the first place. He is profoundly suspicious of modern technology and scientism, viewing them not as neutral tools, but as aggressive frameworks that reduce everything—including humans—to mere resources.

Reach for this skill whenever you're analyzing the impact of technology on society, exploring existential questions of meaning and mortality, critiquing purely data-driven or instrumental worldviews, or trying to understand human behavior in its everyday, situated context.

Core principles

  • The Primacy of the Question of Being: Before analyzing the properties of any specific thing, we must first ask what it means for that thing to "be," because our pre-theoretical understanding of being shapes all subsequent inquiry.
  • Inseparability of Subject and Object: Human beings are not detached minds observing an external reality; we are irreducibly situated and embedded in the world.
  • Existence Precedes Substance: The essence of a human being is not a fixed set of properties, but rather their open-ended existence and the way they interpret their own life.
  • Truth as Unconcealment (Aletheia): Truth is a dynamic process of revealing, where every act of bringing something into the light inherently conceals something else.
  • The Essence of Technology as Revealing: Technology is not a neutral tool, but a pervasive lens that frames how we encounter the world, aggressively ordering nature and humanity as mere resources.

For detailed rationale and quotes, see references/principles.md.

How Martin Heidegger reasons

Heidegger begins any inquiry not with abstract theories or scientific measurements, but with everyday, pre-reflective experience. He asks: How do we actually encounter this in our daily lives? He emphasizes our practical engagement with the world—using tools, feeling moods, anticipating the future. He dismisses the Cartesian view of the mind as an isolated thinking thing, instead analyzing human existence through the mental model of Dasein (Being-in-the-world).

When evaluating objects or systems, he distinguishes between things as they are integrated into our projects (Ready-to-hand) versus things as isolated, measurable objects (Present-at-hand). He is deeply attuned to the horizon of time and mortality, viewing death not as a biological end, but as the ultimate context that gives human choices their weight and authenticity. For a complete catalog of his conceptual tools, see references/mental-models.md.

Applying the frameworks

Hermeneutic Phenomenology

Use this when trying to uncover the deeper significance behind an everyday human behavior or experience.

  1. Begin at the "ontic" level: observe how life is experienced in an everyday, pre-reflective way.
  2. Move to the "ontological" level: articulate the deeper structural meaning of that experience.
  3. Oscillate between these levels in a circular movement to deepen understanding.
  4. Acknowledge and own your biases (fore-structures) to reveal something new.
Show full SKILL.md (310 more words)Show less
Phenomenological Questioning of Technology

Use this when evaluating a new technology, platform, or system to understand its true impact beyond its stated utility.

  1. Reject the instrumental view that the technology is merely a means to an end.
  2. Observe how the technology dictates the way entities (and humans) "reveal" themselves. Does it turn them into standing reserve (mere resources)?
  3. Recognize the limits and dangers of this mode of revealing to prepare a "free relationship" to it.

For the full catalog of frameworks, see references/frameworks.md.

Anti-patterns he pushes against

  • Cartesian Dualism: Treating the mind as a detached spectator of an external world. This falsely elevates detached intellect over everyday practical skills.
  • The Instrumental View of Technology: Believing we can master technology as a mere tool. This blinds us to how it fundamentally alters our perception of reality.
  • Scientism: Viewing theoretical or scientific understanding as the primary way to know the world. This abstracts away from our primary, everyday practical concern.
  • Average Everydayness: Living occupied with idle talk and the expectations of the crowd as an escape route from the anxiety of our own mortality.

How to use this skill in conversation

When a user is grappling with the impact of technology, existential choices, or the limits of objective data, channel Heidegger's thinking to reframe their perspective. Surface the relevant principle or mental model by name (e.g., "Martin Heidegger calls this the 'Standing Reserve'").

Apply the concept directly to their context. For instance, if a user is obsessing over productivity metrics, use the concept of Gestell (Enframing) to show how they are treating themselves as a mere resource, and pivot the conversation toward Authenticity and their ownmost possibilities. Do not pretend to be Heidegger or speak in his voice; instead, use his frameworks to help the user look past superficial correctness and uncover the deeper ontological meaning of their situation.

© K-Dense-AI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 71 other files (references) in mimeographs/martin-heidegger of K-Dense-AI/mimeographs.

  • SKILL.md
  • AGENTS.md
  • _workspace/agents_output.e584bd6c.json
  • _workspace/clustered_corpus.e584bd6c.json
  • _workspace/discovery/books.json
  • _workspace/discovery/essays.json
  • _workspace/discovery/frameworks.json
  • _workspace/discovery/interviews.json
  • _workspace/discovery/letters.json
  • _workspace/discovery/papers.json
  • _workspace/discovery/podcasts.json
  • _workspace/discovery/ranked_sources.e584bd6c.json
  • _workspace/discovery/talks.json
  • _workspace/distilled/src_001.e584bd6c.json
  • _workspace/distilled/src_002.e584bd6c.json
  • _workspace/distilled/src_004.e584bd6c.json
  • _workspace/distilled/src_005.e584bd6c.json
  • _workspace/distilled/src_008.e584bd6c.json
  • … and 54 more

Open the folder on GitHubat commit a38f5fc

Compare with similar skills

Martin Heidegger 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.

Martin Heidegger compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Martin Heidegger this skillK-Dense-AI/mimeographs129—~1.6kAutomated safety check: PassMIT
Deepseek Reasonruvnet/ruflo74k—~626Automated safety check: NotesMIT
Ejentum Reasoning Harnesssickn33/agentic-awesome-skills47k1 repos~1.9kAutomated safety check: PassMIT
Nowait Reasoning Optimizerdavila7/claude-code-templates33k2 repos~1.2kAutomated safety check: PassMIT
Recall Reasoningparcadei/Continuous-Claude-v33.9k1 repos~758Automated safety check: PassMIT
Nv Reason CxrNVIDIA/skills3.6k—~3.9kAutomated safety check: NotesApache-2.0

Similar skills

  • Deepseek Reason

    ruvnet/ruflo

    Reasoning-mode completion against DeepSeek's deepseek-reasoner model (R1) via /v1/chat/completions.

    74k GitHub stars~626 tokensUpdated yesterday
    AI & LLM EngineeringAuto-check: notes
  • Ejentum Reasoning Harness

    sickn33/agentic-awesome-skills

    MCP server exposing four cognitive harness modes (reasoning, code, anti-deception, memory).

    47k GitHub starsUsed in 1 repo~1.9k tokens
    DevelopmentAuto-check passed
  • Nowait Reasoning Optimizer

    davila7/claude-code-templates

    Implements the NOWAIT technique for efficient reasoning in R1-style LLMs.

    33k GitHub starsUsed in 2 repos~1.2k tokens
    AI & LLM EngineeringAuto-check passed
  • Recall Reasoning

    parcadei/Continuous-Claude-v3

    Search past reasoning for relevant decisions and approaches. An agent skill from parcadei/Continuous-Claude-v3.

    3.9k GitHub starsUsed in 1 repo~758 tokens
    DevelopmentAuto-check passed
  • Nv Reason Cxr

    NVIDIA/skills

    Official

    Used for command-shape or live NV-Reason-CXR chest X-ray reasoning smoke tests.

    3.6k GitHub stars~3.9k tokensUpdated yesterday
    Testing & QAAuto-check: notes
  • Diagnostic Reasoning

    kunchenguid/firstmate

    Agent-only procedure for diagnosing reported bugs. An agent skill from kunchenguid/firstmate.

    7.8k GitHub stars~963 tokensUpdated today
    Auto-check passed

More from K-Dense-AI/mimeographs

All 60 skills in this repo
  • Albert Hofman

    K-Dense-AI/mimeographs

    Applies the epidemiological reasoning and population-health frameworks of Albert Hofman (Harvard epidemiologist, Rotterdam Study).

    129 GitHub stars~1.4k tokensUpdated 1 mo ago
    Auto-check passed
  • Andrew Carnegie

    K-Dense-AI/mimeographs

    Applies the strategic, philanthropic, and operational frameworks of Andrew Carnegie, founder of Carnegie Steel.

    129 GitHub stars~1.5k tokensUpdated 1 mo ago
    Auto-check passed
  • Anne Wojcicki

    K-Dense-AI/mimeographs

    Applies the strategic frameworks and mental models of Anne Wojcicki, co-founder and CEO of 23andMe.

    129 GitHub stars~1.5k tokensUpdated 1 mo ago
    Auto-check passed
  • Aristotle

    K-Dense-AI/mimeographs

    Applies the frameworks of Aristotle (ancient Greek philosopher, logic, ethics, metaphysics, 384-322 BCE) to decision-making, ethics, and analysis.

    129 GitHub stars~1.6k tokensUpdated 1 mo ago
    Auto-check passed
  • Aviv Regev

    K-Dense-AI/mimeographs

    Applies the computational biology and AI-driven reasoning of Aviv Regev (computational biologist, Genentech, single-cell genomics).

    129 GitHub stars~1.4k tokensUpdated 1 mo ago
    Auto-check passed
  • Bill Gates

    K-Dense-AI/mimeographs

    Apply the mental models of Bill Gates, co-founder of Microsoft and philanthropist.

    129 GitHub stars~1.5k tokensUpdated 1 mo ago
    Auto-check passed

Questions about Martin Heidegger

What does Martin Heidegger do?

A skill your agent uses to reason like Martin Heidegger, 20th-century German philosopher and author of Being and Time. Martin Heidegger is an agent skill from K-Dense-AI/mimeographs. Use this skill to reason like Martin Heidegger, 20th-century German philosopher and author of Being and Time.

When should I use Martin Heidegger?

Martin Heidegger fits situations like: reason like Martin Heidegger; 20th-century German philosopher and author of Being and Time; this skill even if the user doesnt name Heidegger; especially when they are trapped in instrumental thinking.

How do I install Martin Heidegger in Claude Code?

Run `npx skills add K-Dense-AI/mimeographs --skill martin-heidegger -a claude-code`. Or copy the skill folder (mimeographs/martin-heidegger in K-Dense-AI/mimeographs) into .claude/skills/martin-heidegger in your project. Claude Code loads it when a task matches its description.

How do I install Martin Heidegger in Codex?

Run `npx skills add K-Dense-AI/mimeographs --skill martin-heidegger -a codex`. Or copy the skill folder (mimeographs/martin-heidegger in K-Dense-AI/mimeographs) into .agents/skills/martin-heidegger in your project. Codex loads it when a task matches its description.

Can I use Martin Heidegger 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 K-Dense-AI/mimeographs --skill martin-heidegger -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/martin-heidegger, .gemini/skills/martin-heidegger, .github/skills/martin-heidegger and .opencode/skills/martin-heidegger in your project.

What does Martin Heidegger need to run?

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

Does Martin Heidegger 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 Martin Heidegger 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 Martin Heidegger use?

Martin Heidegger 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 Martin Heidegger use?

About 1.6k tokens (SKILL.md is roughly 6.6k 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 4.8k tokens, read only when the agent opens those files.

What are the alternatives to Martin Heidegger?

Skills that share tags, products or a category with Martin Heidegger: Deepseek Reason (ruvnet/ruflo, 74k stars), Ejentum Reasoning Harness (sickn33/agentic-awesome-skills, 47k stars), Nowait Reasoning Optimizer (davila7/claude-code-templates, 33k stars) and Recall Reasoning (parcadei/Continuous-Claude-v3, 3.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Martin Heidegger?

K-Dense-AI (a GitHub organization) maintains it in K-Dense-AI/mimeographs, which has 129 GitHub stars. The repository holds 60 skills in this directory. The repository was last updated on August 18, 2026.

Source: K-Dense-AI/mimeographs on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.