Install
openclaw skills install @deciqai/knowing-and-doing-as-oneActivate when: user says 'I know I should but I haven't', a team is stuck in analysis paralysis going in circles, you need to assess whether someone actually learned from a past experience, a strategy or lessons-learned doc has produced no operational change, or an organization keeps repeating the same mistake. Do NOT activate when: the barrier is a demonstrable external constraint (capital, regulation, waiting for a trigger), or when the goal is to shame rather than diagnose.
openclaw skills install @deciqai/knowing-and-doing-as-oneWhen you say "I know I should but I just don't do it," the standard explanation is a failure of willpower. This skill rejects that. The gap between knowing and doing is the diagnostic signature that the knowing was never complete in the first place.
Wang Yangming (王阳明, 1472–1529) formalized this in 知行合一 (zhīxíng héyī): "There has never been one who knows but does not act. To know and not act is simply not to know." Modern research (Gollwitzer 1999, Pfeffer & Sutton 2000, Ries 2011) has independently converged on the same operational conclusion.
Composes with: metacognition · founder-mindset · lean-startup · critical-thinking
Apply when: "I know I should but I haven't" · analysis paralysis going in circles · assessing whether someone actually learned from past experience · strategy/lessons-learned doc produced no operational change · org repeating the same mistake · someone invokes "say-do gap," "knowing-doing gap," or "Wang Yangming."
When NOT to use: barrier is demonstrably external (capital, regulation, waiting for a trigger) · "strategic patience" with specifiable duration · tempted to use it to shame rather than diagnose.
In Coach mode, respond one step at a time. Each [WAIT] is a hard stop — output only that step's question, then stop.
[WAIT — do not advance until user responds]
[WAIT — do not advance until user responds]
[WAIT — do not advance until user responds]
Run the Knowing-Doing Audit. Find the gap, find what specifically isn't actually known, find the next acting step.
# Knowing-Doing Audit: <claim of knowing>
Claim: <one sentence>
Concrete action not taken: <what doing looks like this week>
Gap: <what happened that is not the doing>
Missing knowledge components: <component 1> / <component 2> / <component 3>
Test: <small action to complete one missing component>
Next action + date: <specific doing, specific time>
How I'll know it worked: <observable outcome or new component revealed>
→ Method in Action: Wang Yangming's Longchang Enlightenment, 1508
→ Primary sources: references/sources.md
[D] = designed upfront | [O] = observed in real use. [O] entries are more valuable.
| Fake move | Reality |
|---|---|
| [D] "I know what to do, I just lack motivation/willpower" | Name the specific knowledge component missing, complete it via small action, observe whether doing follows. The deficit is almost always knowing, not motivation. |
| [D] "I just need more information before I act" | The Cheng-Zhu position Wang criticized. Leads to neither knowing nor action. Act small on the components gated on action. |
| [D] "We held a retro and learned the lesson" | A retro that doesn't change behavior produced vocabulary, not learning. Test = action consistent with the lesson since. |
| [D] "They explained what they learned really well" | Fluency of narration is not evidence of learning. Evidence is what they have done since. Critical for hiring. |
| [D] Using this skill to shame rather than diagnose | Frame: "what specific component hasn't completed?" — not "you don't really know." |
| [D] Treating the audit as one-shot | Iterative. If doing still doesn't follow, run another cycle. The recursion terminates. |
| [D] Using the framework when constraint is genuinely external | Diagnose external constraints first or the audit produces false-positive "I don't really know" conclusions. |
| → Add [O] entries here after each real use — paste the actual failure pattern | What went wrong and why |
Part of deciqAI Knowledge Skills — open-source thinking skills that make rigor executable for AI agents. Built by deciqAI · https://deciqai.com · Contributions welcome — see the template at the repo root.