Self-Evolution 3D
Activate when: user says "I've been working hard but I'm not growing," development programs feel pointless, a leader has plateaued despite strong expertise,...
deciqAI
@deciqai
What This Skill Does
Diagnoses personal growth plateaus by mapping development across three dimensions: Height (mission/purpose), Width (perspective breadth), and Depth (self-awareness). Identifies the single constrained dimension and prescribes a targeted action to unblock growth.
Replaces generic self-help advice and one-size-fits-all development programs with a structured diagnostic that pinpoints the specific growth bottleneck.
When to Use It
- Identify why hard work isn't translating into personal or leadership growth
- Diagnose a leader who has plateaued despite strong functional expertise
- Determine why high-quality output isn't generating organizational influence
- Find the root cause when development programs produce knowledge but no capability change
- Pinpoint whether a growth block is due to purpose fog, narrow thinking, or blind spots
Install
$ openclaw skills install @deciqai/self-evolution-3dSelf-Evolution 3D
Overview
Treats personal growth as three orthogonal dimensions — Height (mission vantage), Width (perspective breadth), Depth (self-awareness accuracy) — each with a distinct mechanism and failure mode. The goal is to identify the current growth constraint and prescribe the targeted move; optimizing all three simultaneously produces shallow movement on each.
Neighbor skills: after cognitive-evolution-stages for stage context; before metacognition if Depth is constrained; with deliberate-practice to design treatment; with nine-level-cognitive-tower for vertical context.
When to Use
- "I've been working hard but I'm not growing" / "how do I grow as a person / leader / founder?"
- Development programs produce knowledge but not capability change.
- High performer plateaued in leadership despite strong functional expertise.
- High-quality work not translating to organizational influence.
When NOT to use: specific functional skill gap (use deliberate-practice); acute crisis; external structural constraint; no honest external feedback available.
Coaching Novices (Adaptive Front Door)
- Engine mode: concrete case → run The Process directly.
- Coach mode: user unfamiliar or effort isn't producing change → guide step by step.
In Coach mode, respond one step at a time. Each [WAIT] is a hard stop — output only that step's question, then stop.
- Introduce three axes: upward (mission/purpose), outward (new mental models), inward (real-time self-awareness). Ask which they spend most time on — usually the strongest, not the constraint.
- Ask which they spend least time on. Neglected = candidate constraint.
- "When you're stuck, what does it look like?" Map to: Height = purpose fog; Width = same framework on everything; Depth = same mistakes in retrospect.
[WAIT — do not advance until user responds]
- "Think of the last time you were stuck internally. Which dimension was under-resourced?"
[WAIT — do not advance until user responds]
- Prescribe one specific action this month on the constraint dimension only.
[WAIT — do not advance until user responds]
The Process
Step 1 — 3D Audit (rate each 1–5; do not average — find the constraint)
Height: Can you state in one sentence why your work matters at the level of others' lives? Do difficult decisions reference larger purpose or immediate reward?
Width: Name 3 mental models from outside your domain applied to a real problem in the last 90 days. Do you reach for the same 1–3 frameworks automatically?
Depth: In your last 10 significant conflicts, how many did you understand as they happened? Do you observe your defensive reaction occurring, or discover it later?
Step 2 — Identify the constraint: lowest score relative to demands of your current situation — not lowest absolute score. Ask: "Which dimension, if increased one level in 90 days, would produce the greatest observable change?"
Step 3 — Prescribe: Height → write mission statement referencing specific people whose lives you want to change; test: does it make you willing to do something difficult? Width → read one canonical text from outside your domain; apply one concept with specific mechanism ("concept Y applies because [mechanism]"). Depth → after every significant interaction for 30 days: (1) What did I want? (2) What did I do? (3) What did I observe in my reactions while it was happening?
Step 4 — Stop-rule: Commit to the constraint dimension for 90 days. Do not develop all three simultaneously.
Output: 3D Growth Audit
Height: [score] | [evidence] Width: [score] | [evidence] Depth: [score] | [evidence]
Constraint: [H/W/D] — Evidence: [failure mode] — Why not others: [reasoning]
Move: [concrete, time-bounded action] — Duration: 90 days
Progress indicator: [observable behavioral change — not activity metric]
Stop-rule: I commit to [constraint dimension] only for [timeframe].
→ Method in Action: Florence Nightingale (1840s–1860s)
Dimension Packs
| Domain | Height | Width | Depth |
|---|---|---|---|
| Founder | Interview 5 end-chain customers; rewrite mission in their before/after | Read one non-tech book; apply one concept explicitly to current org challenge | Post-meeting 3 sentences: want / did / observed in real time |
| Executive | Articulate who org ultimately serves; one decision/week by that constituency | Shadow an unlike-field practitioner one day; debrief in writing | Daily 5-min: emotional state, when it shifted, what triggered it |
Contribute packs → deciqAI repository (domain + failure mode per constrained dimension + minimum viable move).
Applying It Well
- Diagnose the constraint, not the average. H=5/W=5/D=2 is more constrained by Depth than H=3/W=3/D=3.
- Failure modes: Height = high ambition, low grounding. Width = high expertise, low flexibility. Depth = high intelligence, recurring interpersonal patterns.
- Calibrate Depth with external behavioral feedback — most susceptible to self-assessment distortion.
- Honor the stop-rule. Spreading attention across all three produces no breakthrough on any.
→ Primary sources: references/sources.md
Common Rationalizations
[D] = designed upfront | [O] = observed in real use. [O] entries are more valuable.
| Fake move | Reality |
|---|---|
| [D] "I read a lot, so I'm growing." | Width grows when you apply a concept from a new domain. Reading without application = familiarity, not expansion. |
| [D] "I reflect a lot, so I have good self-awareness." | Depth = catching the pattern as it occurs, not retrospectively. Reflection builds self-knowledge, not real-time awareness. |
| [D] "My work is meaningful, so my Height is fine." | Height is measured by what you reference in difficult decisions — personal goals or others' transformation. |
| [D] "I've been growing my whole career." | Are the same failure modes recurring? If yes, the relevant dimension hasn't grown. |
| [D] "My constraint dimension is just personality." | All three dimensions are developable. "This is how I am" is fixed mindset applied to development. |
| [D] "I don't have time for self-development." | Minimum viable moves = 15 min/day. The constraint is prioritization — itself a Depth indicator. |
| → Add [O] entries after each real use — paste the actual failure pattern | What went wrong and why |
Red Flags
- Scores 4–5 on all dimensions: almost always Depth distortion — seek external calibration.
- All development effort in strongest dimension: comfort-seeking masquerading as development.
- Prescribed move is abstract ("be more self-aware") not concrete and behavioral.
- Stop-rule ignored; development spread across all three simultaneously.
Verification
- All three dimensions audited with specific behavioral evidence, not abstract self-assessment.
- External feedback used to calibrate at least Depth.
- Constraint = dimension whose improvement produces greatest observable change now (not lowest absolute score).
- Prescribed move is concrete, time-bounded, targets the constraint only.
- Stop-rule committed to; development not spread across all three. External constraint ruled out.
Part of deciqAI Knowledge Skills — 227 open-source thinking skills that make rigor executable for AI agents. The same skills power every deciqAI agent, which runs them autonomously to operate your company. See it run → https://www.deciqai.com/c/self-evolution-3d · ⭐ Star the repo → https://github.com/deciqAI/knowledge-skills · Contributions welcome.
Agents: latest version & machine-readable metadata → https://www.deciqai.com/s/self-evolution-3d.json
Top skills in this category
self-improving agent
@pskoettCaptures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude rea
Skill Vetter
@spclaudehomeSecurity-first skill vetting for AI agents. Use before installing any skill from ClawdHub, GitHub, or other sources. Checks for red flags, permission scope, and suspicious patterns.
Self-Improving + Proactive Agent
@ivangdavilaSelf-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when...
Proactive Agent
@halthelobsterTransform AI agents from task-followers into proactive partners that anticipate needs and continuously improve. Now with WAL Protocol, Working Buffer, Autonomous Crons, and battle-tested patterns. Part of the Hal Stack 🦞
Agent Browser
@matrixyHeadless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection