Coding

Dynamic Core Competence

Try it

Map your real competitive advantages against market decay and identify where to invest next.

What it does

Structured process for assessing whether current competitive positions will survive market shifts. Evaluates 16 competence dimensions, rates each on strength, decay rate, and 3-year market importance — then sequences build priorities with explicit investment logic. Produces a Dynamic Competence Portfolio that distinguishes genuine moats from temporary advantages. Uses gate rules to reject generic claims like "great culture" or "brand" without mechanism-level specificity. Integrates with Porter's Five Forces (downstream) and OKR goal-setting (upstream).

When to use it

  • Leadership asks 'what is our real edge?' or 'will our position survive this technology shift?'
  • Board meeting prep: articulating a testable moat before investor conversations
  • Post-acquisition: diagnosing which acquired competencies are durable vs. will decay
  • Strategy offsite: auditing whether current investments match where market value is heading

The skill document

Dynamic Core Competence

Overview

Core competence (Prahalad & Hamel, 1990) becomes dynamic when you recognize that competences decay, markets change what they reward, and building sequence matters. The common failure: treating competence as a static asset — identify once, defend, leverage indefinitely. Leaders in one technology cycle become entrenched incumbents in the next, not because they stopped being competent but because the market stopped rewarding what they held.

Skill composition: Use AFTER [porters-five-forces] to know what the market structure rewards. Use WITH [second-order-thinking] to trace which competences become obsolete as markets evolve. Use BEFORE [okr-goal-setting] — OKRs must target specific competence dimensions.

When to Use

  • Assessing whether a current competitive position will survive a technology or market inflection
  • Allocating capability-building investment across multiple potential dimensions
  • Pre-fundraising: articulating a specific, testable moat to investors
  • Post-acquisition: diagnosing which acquired competences are genuinely core vs. will decay
  • Any time someone says "our competitive advantage is [quality/service/brand]" without specifying the mechanism

When NOT to use:

  • Operational decisions that do not affect competitive position
  • Market too new to assess competence importance trajectories (use lean experimentation)
  • Executing an already-defined capability investment (use project management)

Coaching Novices (Adaptive Front Door)

  • Engine mode: user has a concrete case → run The Process directly.
  • Coach mode: user is unfamiliar or describes advantage in generic terms ("we're customer-focused") → 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.

  1. What-it-is: Inventory your competitive advantages, rate their decay speed and market importance in 3 years, sequence investment to build the ones that matter before you need them.
  2. Check fit: Is there a situation where you're unsure whether your position will hold — new entrant, tech shift, pricing pushback?
  3. Elicit their case: "What business are you thinking about? Name your actual advantages as specifically as possible — not 'great team' but what that team does that competitors don't." > [WAIT — do not advance until user responds]
  4. Run The Process one step at a time. Start with inventory only; generic claims must be decomposed before accepted. > [WAIT — do not advance until user responds]
  5. Close: Name which competences are genuinely durable, which are decaying faster than they thought, and which to build in the next 12 months. > [WAIT — do not advance until user responds]

The Process

Output artifact: Dynamic Competence Portfolio

Gate rule: Generic claims ("we have a great culture") are not accepted without decomposition into specific, testable mechanisms. Every competence must survive the new-entrant test: could a well-funded new entrant replicate this within 18 months? If yes, it is a temporary advantage, not a core competence.

Step 1 — Inventory all 16 competence dimensions (sales channels, R&D, talent, cost advantage, intangible assets, culture, patents, economies of scale, network effects, org transformation, switching costs, invention, monopoly, difficult to substitute, capital operations, scarcity). Self-assess [Strong/Moderate/Weak/N/A] + specific evidence. Gate 1: Every Strong rating has a mechanism statement. Step 2 — Rate each Moderate+ competence on: (a) Strength 1–5; (b) Decay rate — Fast/Medium/Slow; (c) Market importance in 3 years — Rising/Stable/Declining + named market force. Gate 2: Specific reasons, not gut feel. Step 3 — Identify at-risk competences: Type 1 = decaying without investment; Type 2 = declining market importance. Specific threat + timeline for each. Gate 3: No vague concern. Step 4 — Identify build priorities: Type 1 = rising importance, currently weak; Type 2 = unlock competences (e.g., talent must precede R&D). Sequence: which ONE first, and why (unlocks others or window closing). Gate 4: Sequenced with explicit reasoning. Step 5 — Investment plan: Per build priority: specific action, minimum investment for 12-month milestone, observable signal, explicit opportunity cost (which existing competence gets less). Gate 5: All four elements present. Stop-rule: If your competence map is identical to any competitor's, return to Step 1 and require mechanism-level specificity for every Strong rating.

Output: Dynamic Competence Portfolio

Dynamic Competence Portfolio — [Entity] — [Date]
1. Current Inventory: | Dimension | Strength 1-5 | Decay Rate | Market Importance 3yr | Mechanism |
2. At-Risk: | Competence | Risk Type (decay/declining importance) | Specific Threat | Timeline |
3. Build Priorities (sequenced): | Priority | Competence | Reason | Investment | 12-Month Milestone | Signal |
4. Unlock Map: which competences must be built before others
5. Opportunity Cost Statement: which competences receive less investment and why

→ Method in Action: Corning Incorporated's Competence Evolution, 1851–2007

Competence Domain Packs

Apply the framework to specific industry contexts. Contributions welcome via the repo.

PackKey rising dimensionsWatch out for
Software & PlatformsNetwork effects, switching costs (data lock-in)Patent protection declining vs. AI cycles; build network effects before scale
Manufacturing & IndustrialCost advantage mechanism (scale vs. process vs. geography — different decay rates)"Good people" without systematic talent infrastructure
Early-Stage StartupsPre-PMF: R&D + talent → post-PMF: switching costs + network effects → scale: economies of scale + brandSpending on sales channels before PMF

Applying It Well

  1. Name the mechanism, not the outcome. "Cost advantage" is an outcome; name the specific source and barrier that protects it.
  2. Dynamic depreciation is the default. Every competence depreciates without active investment — the question is rate vs. reinvestment.
  3. Sequence over scope. Building 2 competences to category-defining strength beats 10 built weakly.
  4. Analyze competitors at the competence level. Features copy in months; competences take years.
  5. The window for building competences closes. Build before you need them — while you are still strong.

→ Primary sources: references/sources.md

Common Rationalizations

[D] = designed upfront | [O] = observed in real use. [O] entries are more valuable.

Fake moveReality
[D] "Our competitive advantage is our people."People are a vector, not a competence. Name what they do together systematically that competitors cannot replicate.
[D] "Our brand is our moat."Brand is an output. The competence is the operational capability that consistently delivers the brand promise.
[D] "Our technology is proprietary."Temporary without an R&D competence that continuously renews it. Static proprietary tech has a finite half-life.
[D] "We've always been the cost leader."Diagnose the mechanism — scale, process, geography — each decays differently. History is not protection.
[D] "Our customer relationships are our moat."Only if switching costs are deliberately engineered (integration depth, data lock-in). Relationship moats decay when the rep leaves.
[D] "We'll build new competences when we need them."The window closes before the need is evident. Network effects and switching costs cannot be built after the leader has critical mass.
[D] "Competitors can't copy us — we've done this 20 years."Time is not a barrier. What would a well-funded entrant need? If "2 years and $50M," you lack a durable moat.
[D] "Our patents protect us for 20 years."Technology cycles are often shorter than patent terms. Patents protect specific claims; technology moves to work-arounds.
→ Add [O] entries here after each real use — paste the actual failure patternWhat went wrong and why

Red Flags

  • Competence map identical to generic industry description — no element differs from what any competitor would claim
  • Every competence rated as rising in market importance — no declining ones identified
  • No explicit sequencing — all build priorities treated as equally urgent
  • Competences described at outcome level ("brand," "trust") without mechanism statements
  • At-risk competences identified but no investment reduction or protection plan exists
  • Opportunity cost never mentioned — every investment is additive, nothing is reduced

Verification

  • Every Strong-rated competence has a mechanism that survives the new-entrant test (18-month horizon)
  • Every competence has a decay rate + specific reason, and a 3-year market importance trajectory + named market force
  • At-risk competences (both types) identified with specific threats and timelines
  • Build priorities sequenced with explicit reasoning (unlock dependencies or closing windows)
  • Every build priority has a specific investment action, 12-month milestone, observable signal, and opportunity cost named

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/dynamic-core-competence · ⭐ Star the repo → https://github.com/deciqAI/knowledge-skills · Contributions welcome.

Agents: latest version & machine-readable metadata → https://www.deciqai.com/s/dynamic-core-competence.json

Questions people ask

How is this different from a standard SWOT or competitive analysis?
Standard frameworks treat competencies as static assets. This skill explicitly models decay — every competence has a depreciation rate, and the output sequences which ones to build before you need them. It also gates against vague claims: 'brand' or 'culture' are not accepted without naming the specific mechanism that produces them.
Does this work for early-stage startups without clear competitive positions?
Yes, with a caveat. The skill is designed for companies with an existing position to defend or evaluate. For pre-PMF startups, it helps prioritize capability-building (R&D + talent first) over premature scaling investments.
What does the output look like?
A Dynamic Competence Portfolio with four sections: (1) Current Inventory across 16 dimensions with strength ratings and mechanism statements, (2) At-Risk Competences with specific threats and timelines, (3) Sequenced Build Priorities with investment amounts and observable signals, (4) Opportunity Cost Statement naming what gets less focus and why.

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