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atomise

Atom of Thoughts (AoT) reasoning - decompose complex problems into atomic units with confidence tracking and backtracking.

Skill by claude-mods

IndexedMIT★ 75
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About

Atom of Thoughts (AoT) reasoning - decompose complex problems into atomic units with confidence tracking and backtracking. For genuinely complex reasoning, not everyday questions. Triggers on: atomise, complex reasoning, decompose problem, structured thinking, verify hypothesis.

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Permissions

What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.

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  • codeload.github.com · found in install command

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  • ~/.claude/skills/atomise

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What's inside

Skill name
atomise
Description
Atom of Thoughts (AoT) reasoning - decompose complex problems into atomic units with confidence tracking and backtracking. For genuinely complex reasoning, not everyday questions. Triggers on: atomise, complex reasoning, decompose problem, structured thinking, verify hypothesis.
License
MIT
Compatibility
Pure reasoning framework, no external dependencies.
Allowed tools
Read
Metadata
author: claude-mods
Instructions
168 lines in SKILL.md · view on GitHub

Files (4)

  • SKILL.md
  • .gitkeep · assets/
  • .gitkeep · references/
  • .gitkeep · scripts/

SKILL.md (first lines)

# Atomise - Atom of Thoughts Reasoning

Decompose complex problems into minimal, verifiable "atoms" of thought. Unlike chain-of-thought (linear, error-accumulating), AoT treats each step as independently verifiable and backtracks when confidence drops.

**Use for:** Security analysis, architectural decisions, complex debugging, multi-step proofs.
**Don't use for:** Simple questions, trivial calculations, information lookup.

```
/atomise "<problem>" [--light | --deep] [--math | --code | --security | --design]
```

---

## The Core Loop

```
1. DECOMPOSE -> Break into atomic subquestions (1-2 sentences each)
2. SOLVE     -> Answer leaf nodes first, propagate up
3. VERIFY    -> Test each hypothesis (counterexample, consistency, domain check)
4. CONTRACT  -> Summarize verified state in 2 sentences (drop history)
5. EVALUATE  -> Confident enough? Done. Too uncertain? Backtrack and try another path.
```

Repeat until confident or all paths exhausted.

---

## Atoms

Each atom is a minimal unit:

```
{id, type, content, depends_on[], confidence, verified}
```

| Type | Purpose | Starting Confidence |
|------|---------|---------------------|
| **premise** | Given facts | 1.0 |
| **reasoning** | Logical inference | Inherited from parents |
| **hypothesis** | Claim to test | Max 0.7 until verified |
| **verification** | Test result | Based on test outcome |
| **conclusion** | Final answer | Propagated from chain |

**Confidence propagates:** A child can't be more confident than its least-confident parent.

---

## Confidence (Honest Caveat)

These numbers are *heuristic*, not calibrated probabilities. They're useful for tracking relative certainty, not for actual risk assessment.

| Threshold | Meaning |
|-----------|---------|
| **> 0.85** | Confident enough to conclude |
| **0.6 - 0.85** | Needs more verification |
| **< 0.6** | Decompose further or backtrack |
| **< 0.5** | Backtrack - this path isn't working |

**Verification adjusts confidence:**
- Confirmed -> maintain or slight boost
- Partial -> reduce ~15%
- Refuted -> major reduction, likely backtrack

---

## Modes

**Depth:**
- `--light` - Fast: max 3 levels, 0.70 confidence threshold
- *(default)* - Standard: max 5 levels, 0.85 threshold
- `--deep` - Exhaustive: max 7 levels, 0.90 threshold

**Domain** (adjusts verification style):
- `--math` - Arithmetic checks, proof validation, boundary tests
- `--code` - Type checking, invariant verification, test generation
- `--security` - Threat modeling, attack surface, adversarial thinking
- `--design` - Tradeoff analysis, constraint satisfaction, feasibility

---

## Output

```
ANSWER: {result}
CONFIDENCE: {0.0-1.0} - {why}

KEY CHAIN: P1 -> R1 -> H1 -> V1 -> C1

ATOMS:
| id | type | content | conf | verified |
|----|------|---------|------|----------|
| P1 | premise | Given: ... | 1.0 | Y |
| R1 | reasoning | Therefore: ... | 0.95 | Y |
| ... | ... | ... | ... | ... |

RISKS: {what could change this}
```

Add `--verbose` for full trace, `--quiet` for just the answer.

---

## Execution Guide

### Phase 0: Setup

1. **Restate** the problem in one sentence
2. **Extract premises** as atoms (given facts = 1.0, assumptions = 0.6)
3. **Sketch approaches:** Direct solve? Decompose? Reframe? Pick best.

### Phase 1+: Iterate

1. **Atomicity gate:** Can you answer from verified atoms? Yes -> solve. No -> decompose.
2. **Decompose:** Build dependency tree of atomic subquestions
3. **Solve + Verify:** Leaves first, propagate up. Every hypothesis needs verification.
4. **Contract:** Summarize in <=2 sentences. Drop everything else.
5. **Evaluate:**
   - Confident? -> Terminate
   - Uncertain but viable? -> Continue

From 0xDarkMatter/claude-mods, MIT.

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Stars
75
Forks
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0
Last commit (this folder)
Apr 10, 2026 (6 months ago)
Last release
Oct 14, 2026 (14 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

atomise skill. Agent Mart. https://agentmart.dev/skills/0xdarkmatter-atomise (last updated 2026-10-24)