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think

Apply the Fable-derived 10-stage OBSERVE, OBSERVE, LISTEN, THINK, CONNECT, CONNECT, FEEL, ACCEPT, CREATE, GROW loop to consequential or ambiguous reasoning and decisions. Use for think this through, deep think, architecture review, postmortem, tradeoff analysis, or challenges to assumptions.

Install / Use

npx skills add AgriciDaniel/claude-obsidian --skill think

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

90/100

Category

Automation

Supported Platforms

Universal

Our assessment of think

think scores 90/100 on our quality scale, 689th of 1,943 Automation skills we index (top 36%).

Its SKILL.md is 4.5 KB long, well organised into 20 sections with 1 code example: a solid amount of guidance for an agent.

With 15,217 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
26/30
Structure
17/20
Description
15/15
Adoption
18/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 17 days ago, so think is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

think compared with similar skills

All 4 of these similar skills score higher than think; compare them before choosing.

SkillScoreStarsUpdatedFormat
think (this skill)by AgriciDaniel9015.2k17d agoSKILL.md
Agent-Reachby Panniantong10085.8k12d agoCLAUDE.md
rufloby ruvnet10073.4ktodayCLAUDE.md
Scraplingby D4Vinci10084.1ktodayMCP Server
algorithmic-artby anthropics100177.9k5d agoSKILL.md

Frequently asked questions

How do I install think?
Run npx skills add AgriciDaniel/claude-obsidian --skill think. The install tabs above show the steps for each supported agent.
Which AI agents does think work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is think safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is think still maintained?
The repository was last updated 17 days ago, so think is actively maintained.

name: think description: Apply the Fable-derived 10-stage OBSERVE, OBSERVE, LISTEN, THINK, CONNECT, CONNECT, FEEL, ACCEPT, CREATE, GROW loop to consequential or ambiguous reasoning and decisions. Use for think this through, deep think, architecture review, postmortem, tradeoff analysis, or challenges to assumptions. This is a reasoning review, not a deterministic vault health check or repair workflow.

Think

Use the ten stages as a loop of attention, not a ceremonial transcript. Scale the depth to novelty, stakes, uncertainty, and irreversibility. Keep the final reasoning summary concise and evidence-bearing.

This skill is read-only. It may inspect available evidence, but it does not edit files, execute a vault mutation, commit Git, or publish anything. If the CREATE stage recommends a change, compose with the appropriate mutation skill after the user authorizes that operation.

Establish an evidence frame

Before the loop, separate:

  • Observed: directly supported by an input, source, test, or measurement.
  • Inferred: a conclusion drawn from observations; state the bridge.
  • Unknown: missing evidence that could change the decision.
  • Preference: a user or designer choice, not a factual claim.

Attach citations or concrete locators when sources exist. Never fabricate a quotation, locator, test result, consensus, or confidence level.

The ten stages

1. OBSERVE — external

Read the actual inputs, current state, constraints, failures, and prior work. Distinguish what was inspected in full from what was sampled or assumed.

2. OBSERVE — internal

Name the biases most likely to distort this decision: anchoring, ownership, novelty, familiarity, urgency, sunk cost, confirmation, or a desired verdict. Recalibrate confidence to the evidence available.

3. LISTEN

Recover the user's intent, success condition, constraints, and unstated stakes. Attend to error messages, dissent, edge cases, and affected voices. Ask only questions whose answers could materially change the outcome.

4. THINK

Reduce the problem to invariants, alternatives, tradeoffs, and failure modes. Prefer the smallest reversible test that could disprove the leading hypothesis. Treat failure behavior as part of the specification.

5. CONNECT — lateral

Look for the same structure in adjacent components or another domain. Use an analogy only when its mapped similarities and limits are explicit.

6. CONNECT — system

Trace upstream inputs, downstream consumers, ownership, state boundaries, interfaces, and recovery paths. Check whether a locally sound decision creates an integration failure elsewhere.

7. FEEL

Consider the user's cognitive load, emotional state, accessibility, trust, and error-recovery experience. Treat intuition as a signal to investigate, never as a substitute for evidence.

8. ACCEPT

State constraints, uncertainty, contradictory evidence, and unfavorable findings plainly. Do not inflate a score, soften a material risk to please the user, or mistake agreement for correctness. Present the strongest reasonable counterargument to the preferred conclusion.

9. CREATE

Produce the smallest useful artifact: a recommendation, decision record, experiment, draft, review, or handoff. Mark assumptions and unresolved risks. Do not mutate state under this skill.

10. GROW

Define what feedback or measurement should update the decision, when to revisit it, and what lesson is reusable. Saving the lesson is a separate explicit operation composed with save.

Verification discipline

Before calling the work complete:

  1. Test the highest-risk claim or clearly state why it remains untested.
  2. Seek disconfirming evidence, not only supporting examples.
  3. Match verification effort to blast radius and reversibility.
  4. Report actual commands, sources, artifacts, or observations used.
  5. Separate a passing check from broader correctness it does not establish.
  6. Give confidence as a calibrated qualitative judgment with reasons, not as a decorative percentage.

Output shape

Adapt the headings to the task, but preserve these outcomes:

## Decision
<recommendation or artifact>

## Evidence
<observed facts and important inferences>

## Counterargument and risks
<strongest alternative, contradictions, unknowns>

## Verification
<checks performed and checks still needed>

## Growth loop
<feedback signal, revisit condition, reusable lesson>

For a trivial, reversible lookup or typo, skip the formal loop. For a consequential decision, loop back whenever a later stage exposes a missing observation or misunderstood requirement.

Related Skills

View on GitHub
GitHub Stars15.2k
CategoryAutomation
Updated17d ago
Forks1.5k

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions