fpf-problem-solving

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First Principles Framework (FPF) — thinking amplifier. Use when user wants to think through a complex problem, architect a system, evaluate alternatives, decompose complexity, classify problems, define quality attributes, plan rigorously, make decisions under uncertainty, establish causality, reason about time and trends, describe architecture or structural views, check mathematical model fit, or improve pattern quality. Also triggers on: FPF, bounded contexts, SoTA packs, assurance calculus, decision theory, causal reasoning, temporal reasoning, architecture description, quality gates, FPF Parts A-K. Not for simple task planning, general philosophy, or Agile unrelated to FPF.

CodeAlive-AI By CodeAlive-AI schedule Updated 6/2/2026

name: fpf-problem-solving description: "First Principles Framework (FPF) — thinking amplifier. Use when user wants to think through a complex problem, architect a system, evaluate alternatives, decompose complexity, classify problems, define quality attributes, plan rigorously, decide under uncertainty, establish causality, reason about time and trends, describe architecture or structural views, check mathematical model fit, publish multi-view artifacts, refresh SoTA packs, trace provenance, or improve pattern quality. Also triggers on: FPF, bounded contexts, SoTA packs, assurance calculus, decision theory, causal reasoning, temporal reasoning, architecture description, quality gates, lexical debt, FPF Parts A-K. Not for simple task planning, general philosophy, or Agile unrelated to FPF."

First Principles Framework (FPF)

An "Operating System for Thought" — a transdisciplinary architecture for reasoning, written in human- and machine-readable pseudo-code. FPF turns raw intelligence (human or machine) into organisationally usable reasoning: explicit bounded contexts, auditable artefacts, multi-view descriptions, and disciplined hand-offs between specialised actors.

Use cases

Use FPF whenever you need to think more rigorously than the situation's default.

  • Decompose a messy, cross-domain problem into parts that can be reasoned about independently
  • Make a high-stakes decision with incomplete evidence — and know what evidence is still missing
  • Get a mixed team to reason together without vocabulary collisions or hidden assumptions
  • Audit whether a conclusion is well-founded or just plausible
  • Transfer an insight across domains without losing precision or introducing category errors
  • Structure a proposal that must survive scrutiny from multiple expert perspectives
  • Generate alternatives systematically instead of anchoring on the first idea
  • Define what "better" means before comparing options
  • Classify what kind of problem you're facing before searching for solutions
  • Plan how an AI agent should select and sequence its tools under budget and trust constraints
  • Make a decision under uncertainty — identify options, weigh evidence, and commit with an auditable rationale
  • Establish whether X causes Y — or just correlates — and determine what intervention would work
  • Publish a stable multi-view artifact without changing the source semantics
  • Refresh a SoTA pack, benchmark, or evidence trail when evidence decays or telemetry changes

How to navigate

The use cases above help decide WHETHER to invoke FPF. The router below decides WHERE to go once invoked.

Step 1 — Match the thinking need to a starting point

What you need to do Start here
Decompose a complex whole into bounded parts 04 Kernel → A.1 Holons, A.1.1 Bounded Contexts, A.14 Mereology
Assign roles and responsibilities 04 Kernel → A.2 Roles, A.15 Role-Method-Work Alignment
Set boundaries on what statements mean 05 Signature Stack → classify as definitions, gates, duties, or evidence
Prevent category errors (role vs. function, method vs. work) 06 Constitutional Principles → A.7 Strict Distinction
Evaluate confidence in a claim or artifact — including formality, scope, and reliability of the underlying knowledge 07 Part B → B.3 Trust & Assurance; 08 Part C → C.2 KD-CAL / F-G-R scoring, C.2.2 Reliability, C.2.3 Formality
Compose parts into wholes preserving properties 07 Part B → B.1 Gamma algebra; 08 Part C → C.13 Compose-CAL, C.20 Discipline-CAL
Reason through a problem systematically 07 Part B → B.5 Reasoning Cycle, B.5.2 Abductive Loop
Generate alternatives / explore solution space 08 Part C → C.18 NQD Open-Ended Search, C.19 Explore-Exploit
Measure and compare options rigorously 06 A.V → A.17-A.19 Characteristics, CSLC & SelectorMechanism; 08 Part C → C.16 MM-CHR; 16 Part G → G.9 Parity / Benchmark Harness
Resolve conflicts across stakeholders or values 09 Part D → Ethics & Conflict
Unify vocabulary across teams or domains 13 F.I Context of Meaning → 14-15 UTS tables → 20 Lexical Debt
Document for multiple audiences or stabilize a publication unit 11 E-I Constitution → E.17 Multi-View Publication Kit, E.17.EFP Explanation Faithfulness, E.17.AUD PublicationUnit Stability
Sharpen expression — repair vague wording, surface ambiguity, restore precision of epistemic / measurement / architecture terms 11 E-I → E.10.ARCH Wording-Use Ontological Precision Restoration, E.17.EFP Explanation Faithfulness; 08 Part C → C.2.P Epistemic Precision Restoration, C.16.P Characteristic and Scale Precision Restoration, C.30.P Architecture and Structure Precision Restoration; 05 A.IV.A → A.6.H Wholeness Unpacking
Decide under uncertainty — structure options, weigh evidence, commit with auditable rationale 08 Part C → C.11 Decsn-CAL
Reason about time and change — distinguish state readings, trends, and intervention-sensitive change 08 Part C → C.27 Temporal Claim Adequacy
Establish causality — climb the causality ladder, identify causal structure, check realizability 08 Part C → C.28 CausalUse-CAL
Check mathematical or modeling fit — assess whether a formal lens / math model is adequate for the problem 08 Part C → C.29 MLA Mathematical Lens Adequacy
Describe architecture or structural views — characterise structure, produce adequate architectural descriptions and view types, triage cross-scope architectural residuals 08 Part C → C.30 ADA, C.30.ASV Architecture Structural View, C.30.LCA Control Structure View, C.30.ILC Cross-Scope Architecture Residual Triage, C.30.TGA-FLOW-REL; 07 Part B → A.22 STRUCT-CAL
Model context-dependent or indeterminate states — represent superposed, probe-coupled, or viability-bounded behaviour 08 Part C → C.26 Quantum-Like Modeling Lens, C.26.1 Probe-Coupled Boundary, C.26.2 Enacted Distributed State, C.26.3 Viability-Envelope
Survey a discipline and build, ship, or refresh a reusable toolkit 16 Part G → G.1-G.13 SoTA kit, CG-Frame, dispatcher, benchmarks, shipping, telemetry refresh, dashboards, external interop; 08 Part C → C.21 Discipline-CHR
Classify a problem type before solving 08 Part C → C.22 Problem-CHR, C.3 Kind-CAL (typed reasoning)
Define quality attributes ("-ilities") as structured bundles 08 Part C → C.25 Q-Bundle; 06 A.V → A.17-A.19 Characteristics
Orchestrate agentic tool use under budgets and trust gates 08 Part C → C.24 Agent-Tools-CAL
Trace provenance of a claim or detect refresh debt 06 A.V → A.10 Evidence Graph; 16 Part G → G.6 Provenance Ledger, G.11 Telemetry-Driven Refresh & Decay

For complex problems, follow paths across multiple sections — the router shows where to start, not where to stop.

Step 2 — Read the _index.md, then the sub-section

  1. Open the _index.md of the target section folder — it lists all sub-sections with line counts and descriptions.
  2. Read only the specific sub-section file you need.
  3. Do NOT load entire sections. Pick the narrowest file that serves the user's question.

Step 3 — Apply in plain language

Use plain language for the user. Introduce FPF-internal names (U.Holon, Gamma, F-G-R) only when they add precision the user needs.

Step 4 — Compose findings across sections

When a problem draws from multiple sections:

  1. State each pattern's contribution in one line (e.g., "Bounded Contexts gives us the parts; Trust Calculus scores our confidence in each").
  2. If patterns from different sections appear to conflict, check for category errors via A.7 Strict Distinction — the conflict is usually a level confusion (role vs. function, method vs. work), not a real contradiction.
  3. Synthesize in natural order: decomposition first (what are the parts?), then evaluation (how confident are we?), then resolution (what do we do about gaps?).
  4. Do not just list FPF patterns — weave them into a coherent answer to the user's actual question.

Starter prompt (example — adapt to the user's actual role and need)

You have the FPF specification loaded. Help me structure my project / problem / programme. Use plain language for an engineer-manager. Propose: (1) bounded contexts / specialisations, (2) decision criteria, (3) key alternatives, (4) hand-offs, and (5) missing evidence or tests before commitment. Introduce internal FPF names only when they add precision.

Section INDEX

Structural reference. Each entry is a folder — read its _index.md first, then pick the sub-section.

# Section Sub When to use
01 Title page 0 Identify: authorship, version date, top-level identity.
02 Table of Content 1 Navigate: locate a pattern, trace inter-section dependencies.
03 Preface 17 Onboard: reading paths by role, FPF philosophy, purpose and non-goals.
04 Part A — Kernel 19 Decompose and assign: holons, bounded contexts, roles, transformers, method/work separation.
05 A.IV.A — Signatures 22 Set boundaries: classify statements as definitions, gates, duties, or evidence.
06 A.V — Principles 33 Prevent confusion: category errors, measuring, comparing, evidence graphs, mechanism suite, flow constraints, gate profiles.
07 Part B — Reasoning 25 Compose and evaluate: structure and structural views (STRUCT-CAL), aggregation (Gamma), trust scores, emergence, reasoning cycles.
08 Part C — Extensions 49 Score and search: epistemic quality (F-G-R), kinds, measurement, decision theory, open-ended search, problem typing, discipline composition, agentic tool-use, quality bundles, quantum-like modeling, temporal and causal reasoning, mathematical lens adequacy, architecture description adequacy.
09 Part D — Ethics 1 Resolve conflicts: ethical trade-offs, bias auditing, safety overrides.
10 Part E — Constitution 0 Enter: Part E constitution and authoring subsections.
11 E-I — Constitution 42 Govern and publish: 11 Pillars, guard-rails, multi-view publication (MVPK), publication-unit stability, surface discipline, comparative reading, transduction graph, pattern quality gates, quality improvement loop, discoverability discipline.
12 Part F — Unification 0 Enter: Part F unification suite subsections.
13 F.I — Meaning 19 Align vocabulary: semantic drift, homonym collisions, Alignment Bridges.
14 UTS Layout A 0 Map concepts across standards (BPMN, PROV-O, ITIL).
15 UTS Layout B 1 Map concepts across disciplines (operations, physics, math).
16 Part G — SoTA Kit 15 Harvest and refresh disciplines: SoTA Packs, CG-Frames, dispatchers, provenance ledgers, benchmark harnesses, shipping, telemetry refresh, dashboards, external interop.
17 Part H — Glossary 0 Look up terms: canonical definitions, four-register naming, cross-references.
18 Part I — Annexes 1 Walk through: detailed examples, change log, external standards mappings.
19 Part J — Indexes 1 Find: concept-to-pattern, pattern-to-example, principle-trace indexes.
20 Part K — Lexical Debt 3 Fix terminology: mandatory replacements and migration debt.
Install via CLI
npx skills add https://github.com/CodeAlive-AI/ai-driven-development --skill fpf-problem-solving
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