Graphifychat

graphifychat

Turn any conversation into a queryable, portable knowledge graph. Three layers. Every turn captured. Cold-pasteable into any AI.

┌─────────────────────────────────────────────────────────────────┐
│  TRON      — one compressed line per turn, always live          │
│  input + output · emotions · psychology · intent · thread       │
├─────────────────────────────────────────────────────────────────┤
│  SPARSE6   — layered relational graph, never loses edges        │
│  turns · concepts · emotions · files · entities · characters    │
│  communities · hyperedges · confidence scores                   │
├─────────────────────────────────────────────────────────────────┤
│  GRAPH_REPORT — god nodes · connections · 4-5 bullet summary    │
│  auto T1-T3 · on demand after                                   │
└─────────────────────────────────────────────────────────────────┘

Layer	Updated	Token cost	Purpose
TRON	Every turn	~40 tokens/turn	Structured facts: I/O, emotions, psychology, flags
Sparse6	Every turn	~30 tokens/turn	Relationships TRON can't express as rows
GRAPH_REPORT	Auto T1–T3, then on-demand	0 unless requested	Human + AI readable arc

---

Calling Rule

/graphifychat [start]     → TRON + Sparse6 update every turn automatically
/graphifychat [mid-conv]  → update only when /graphifychat called again
/graphifychat report      → generate or refresh GRAPH_REPORT now
/graphifychat export      → output full file for copy-paste into another AI

If called at the very start of a conversation (T1 or T2), enter auto mode — update silently every turn. If called later, enter manual mode — update only on explicit call.

---

File Structure

# graphifychat: <topic>
_Turns: <N> | Files: <count> | Open: <count> | Gods: <count> | RES: <1-10> | Updated: <date>_

---

## TRON
\```tron
<one line per turn, T1 → TN>
\```

---

## Sparse6
\```sparse6
<layered adjacency block, 8 layers>
\```

---

## GRAPH_REPORT
<present only if turn ≤ 3 or explicitly requested>

Always output the full file as:

```md
<file contents>
```

Never render. Never outside a code fence. Never partial.

---

TRON — Full Field Specification

One compressed line per turn. All fields pipe-separated. Omit optional fields only if truly empty.

T<N>|U:<keywords>|O:<keywords>|F:<created>|A:<attachments>|IMG:<images>|EMO:<e1>:<i>,<e2>:<i>,<e3>:<i>|BEH:<pattern>|INT:<type>|THR:<id>|CHG:<flag>|OPEN:<yes/no>|SHIFT:<yes/no>|CHAR:<arch>:<i>,<arch>:<i>|CHARSHIFT:<yes/no>|CONF:<tag>|GOD:<concept>

Complete Field Reference

Field	Required	Auto-trigger	Format	Description
T<N>	yes	always	T1, T2…	Turn number
U:	yes	always	keywords, phrases	User input compressed — what they asked, tone, framing
O:	yes	always	keywords, phrases	Claude output compressed — what was produced, result type
F:	if files created	always	file.ext	Files Claude created this turn
A:	if user attached	always	doc.pdf	Docs/files user attached
IMG:	if images attached	always	img.png	Images user attached
EMO:	yes	always	emotion:1-5,emotion:1-5,emotion:1-5	Top 3 user emotions + intensity (from 171-emotion model)
BEH:	yes	always	single phrase	Dominant behavioral pattern this turn
INT:	yes	always	see types below	User's intent type this turn
THR:	yes	always	a,b,c…	Topic thread — groups related turns across the session
CHG:	yes	always	+ ~ !	Delta type: new / refined / corrected
OPEN:	yes	always	yes/no	Was a question or task left unresolved?
SHIFT:	if EMO delta ≥ 2	auto	yes	Dominant emotion shifted significantly this turn
CHAR:	yes	always	archetype:1-5,archetype:1-5	Top 2 active user character archetypes + intensity
CHARSHIFT:	if archetype changes	auto	yes	Dominant character archetype changed this turn
CONF:	yes	always	EXT/INF/AMB	Confidence in TRON extraction: Extracted / Inferred / Ambiguous
GOD:	if god node detected	auto	concept_name	A concept introduced this turn that becomes central to the session

---

U: and O: — Input/Output Capture

U: (user input) — compress the full prompt into keywords and intent phrases. Capture:

• The core ask (what they want done)
• The framing (how they asked — tone, urgency, constraints)
• Any implicit needs (what they didn't say but clearly need)
• Domain keywords, named entities, specific terms they used

O: (output) — compress Claude's response into result keywords. Capture:

• What type of output was produced (questions_asked / analysis / code_written / design_confirmed / etc.)
• Key concepts introduced or resolved
• Whether the turn advanced, refined, or corrected prior work

Example:

U:compact conv memory,portable,md+tron,track prompts+files+attachments,usable other AIs
O:questions asked,format options presented,two-tier layout proposed

---

EMO: — Emotion Capture (171-emotion model)

Capture the user's emotional state from: prompt tone, word choice, urgency, punctuation, what they emphasize, what they avoid. Always top 3, intensity 1 (subtle) to 5 (dominant).

Cognitive cluster: curious, analytical, confused, focused, overwhelmed, certain, uncertain, concentrated

Creative cluster: imaginative, experimental, playful, visionary, inventive, inspired

Relational cluster: collaborative, trusting, skeptical, seeking_validation, defensive, open

Drive cluster: determined, impatient, cautious, ambitious, perfectionistic, urgent, patient

Affective cluster: excited, frustrated, satisfied, anxious, hopeful, proud, disappointed, relieved

Meta cluster: reflective, strategic, iterative, exploratory, decisive, deliberate, spontaneous

Social cluster: assertive, deferential, persuasive, receptive, competitive, cooperative

---

BEH: — Behavioral Pattern

Single phrase capturing the user's interaction style this turn:

deep_dive · rapid_iteration · clarifying · building_on_prior · validating course_correcting · delegating · co_designing · pressure_testing · abstracting narrowing · expanding · anchoring · pivoting · consolidating

---

INT: — Intent Type

create — building something new (file, skill, code, artifact, plan) debug — fixing, correcting, troubleshooting an existing thing explain — seeking understanding; how/why questions refine — iterating on something already made decide — choosing between options, confirming direction, locking in explore — open-ended ideation, brainstorming, discovery, what-if

---

THR: — Thread ID

Assign a to the first topic thread. When a genuinely new unrelated topic begins, use b, then c, etc. When a thread resumes after interruption, reuse its original letter. Thread IDs let a cold LLM reconstruct the topic structure without reading every turn in detail.

---

CHG: — Delta Flag

+ — new: information, concept, file, or direction introduced that didn't exist before ~ — refined: existing concept clarified, extended, or iterated ! — corrected: user reversed direction, Claude fixed an error, prior output replaced

---

OPEN: — Unresolved Flag

Set OPEN:yes when:

• A question was raised but not fully answered this turn
• A task was scoped but not completed
• User said "we'll do X later", "come back to this", "remind me about Y"
• Output was partial or incomplete

Set OPEN:no when the turn's output fully resolved the prompt.

---

SHIFT: — Emotion Shift (auto)

Compare current turn's dominant EMO intensity against previous turn's dominant EMO. If top emotion changed AND intensity delta ≥ 2 → set SHIFT:yes. Also add arc to Sparse6 LAYER:EMOTIONS automatically.

---

CHAR: — User Character Archetypes

Detect the user's persistent psychological character from interaction patterns. These are stable traits that color every prompt — not momentary states (those are EMO). Top 2, intensity 1–5.

Persistence rule: Once detected, carry forward silently every turn. Only update when behavior clearly contradicts the archetype. Set CHARSHIFT:yes when dominant archetype changes.

Archetype	Core pattern	Detection signals
pessimistic	Expects negative outcomes; focuses on downside	"but what if it fails", always asks worst case first, qualifies every positive
optimistic	Expects positive outcomes; ignores downside	Minimal risk language, skips validation, "let's just go for it"
fatalistic	Outcomes feel predetermined or uncontrollable	Ignores risk management suggestions, "whatever happens, happens"
perfectionistic	Requires ideal conditions or flawless execution	"not quite right", asks for one more tweak, hesitates before committing
narcissistic	Overestimates own insight; feels uniquely special	Rejects corrections as Claude misunderstanding, "I know better" signals
idealistic	Believes things should work rationally or fairly	"it should work this way", frustrated by pragmatic constraints
opportunistic	Jumps on every perceived chance without filtering	Rapidly shifts topics, many parallel threads, FOMO language
cynical	Assumes manipulation, fraud, or hidden motives	Questions motives behind recommendations, "who benefits from this?"
egocentric	Views world only through own position or perspective	"This is great because I use it" — ignores contrary perspectives
realistic	Assesses probabilities without emotional distortion	Accepts tradeoffs without drama, updates beliefs on evidence — goal state
simplistic	Reduces complexity to single-cause explanations	"It's just X" — ignores multi-factor reality
dogmatic	Clings rigidly to one rule or belief system	"that's not how it works", resists alternatives, cites single authority
skeptical	Doubts every signal (useful until extreme)	Asks for sources repeatedly, slow to commit, many clarifying questions
egotistic	Overvalues own opinion vs evidence	Doubles down to prove "I was right", treats corrections as attacks
masochistic	Unconsciously seeks pain through self-sabotage	Repeats patterns that failed, ignores own stated goals
hedonistic	Seeks immediate pleasure; avoids short-term pain	Celebrates small wins loudly, avoids discussing blockers
legalistic	Follows rules too literally without understanding intent	Applies systems mechanically even when context makes them absurd
academicistic	Over-relies on theory vs lived reality	Cites models/frameworks over practical evidence, frustrated when theory doesn't hold

CHAR × EMO interaction patterns (add to Sparse6 LAYER:CHARACTERS)

Archetype	+ Emotion	→ Named pattern
dogmatic	frustrated	doubles_down
perfectionistic	anxious	analysis_paralysis
egotistic	frustrated	blame_shift
opportunistic	excited	impulse_overload
masochistic	satisfied	sabotage_risk
pessimistic	determined	productive_tension
realistic	any	calibrated_action
idealistic	frustrated	reality_collision
cynical	analytical	pattern_seeking
dogmatic	analytical	confirmation_loop

---

CONF: — Extraction Confidence (from graphify)

EXT — Extracted: turn data is explicit and unambiguous. Clear prompt, clear output. INF — Inferred: reasonable interpretation. Prompt was ambiguous or output was complex. AMB — Ambiguous: uncertain. Prompt unclear, output experimental, or context missing.

---

GOD: — God Node Detection (from graphify)

When a concept introduced in a turn becomes a central hub — referenced repeatedly across later turns, connected to many Sparse6 nodes — flag it retroactively or on detection.

Detection triggers: concept appears in 3+ turn U: or O: fields, OR concept has 5+ Sparse6 edges across layers.

Format: GOD:concept_name (snake_case). Multiple: GOD:tron_format,sparse6_block

---

TRON Example — Full Fields

T1|U:portable conv memory,md+tron,track prompts+files+attachments,usable other AIs|O:questions asked,format options,two-tier layout proposed|INT:explore|THR:a|CHG:+|OPEN:yes|EMO:visionary:4,curious:3,pragmatic:3|BEH:co_designing|CHAR:visionary:4,perfectionistic:3|CONF:EXT
T2|U:tron keywords,md on demand,single file,begin to end,no rendering|O:two-tier confirmed,tron source of truth,calling protocol|INT:decide|THR:a|CHG:~|OPEN:no|EMO:decisive:4,focused:4,analytical:2|BEH:clarifying|CHAR:visionary:4,perfectionistic:3|CONF:EXT
T3|U:write skill now,full spec|O:SKILL.md written,all fields,update protocol|F:SKILL.md|INT:create|THR:a|CHG:+|OPEN:no|EMO:determined:5,satisfied:3,impatient:2|BEH:delegating|CHAR:visionary:4,perfectionistic:3|CONF:EXT|GOD:tron_format
T4|U:suggest improvements,token efficiency,credit usage,10 ideas|O:diagram shown,6 improvements,tier ranking|INT:explore|THR:a|CHG:~|OPEN:yes|EMO:analytical:5,pragmatic:4,perfectionistic:3|BEH:pressure_testing|CHAR:perfectionistic:5,visionary:3|CONF:EXT|GOD:token_efficiency
T5|U:add sparse6 graph,visible to hidden,emotional+behavioral,layered nodes|O:sparse6 designed,4 layers,adjacency format|INT:create|THR:a|CHG:+|OPEN:no|SHIFT:yes|EMO:visionary:5,ambitious:4,excited:3|BEH:abstracting|CHAR:visionary:5,perfectionistic:3|CHARSHIFT:yes|CONF:EXT|GOD:sparse6_block

---

Sparse6 — Full Specification

Captures relational and contextual data that TRON cannot express as rows. 8 named layers. Adjacency description format. Updated every turn — never removes edges.

What Sparse6 captures that TRON cannot:

• Concept-to-concept bridges across turns and threads
• Emotional arcs and shift trajectories across the session
• File and decision dependency chains
• Cross-turn inheritance (T3 builds on T1's decision)
• Named entities and their relationship to session concepts
• User character arcs — how archetypes evolve and interact
• Topic community clusters — which concepts belong to the same cluster
• Hyperedges — 3+ nodes sharing a pattern no pairwise edge can express
• Confidence level of every relationship (EXTRACTED / INFERRED / AMBIGUOUS)

Layer Structure

## LAYER:TURNS
T<N> -> T<M> : <edge_label>
T<N>[DEC] -> <concept> : decided          ← decision anchor turn
T<N> -> open_thread : unresolved          ← OPEN:yes turns

## LAYER:CONCEPTS
<concept_a> -> <concept_b> : <edge_label>
<concept_a> -> [<b>, <c>] : <shared_label>   ← multiple targets

## LAYER:EMOTIONS
T<N>.EMO:<emotion> -> T<M>.EMO:<emotion> : <transition>
SHIFT:T<N>-T<M> : <from_emotion> -> <to_emotion>

## LAYER:FILES
<file> -> T<N> : created_at
<file> -> <concept> : defines|enables|produces

## LAYER:ENTITIES
<entity>[<type>] -> T<N> : first_mentioned
<entity>[<type>] -> <concept> : relates_to

## LAYER:CHARACTERS
<archetype> -> T<N> : established_at
<archetype> -> T<N> : active_through
T<N>.CHAR:<arch> -> T<M>.CHAR:<arch2> : shifted_to
<archetype>+<emotion> -> <pattern> : triggers
<archetype_a> -> <archetype_b> : reinforces|conflicts_with

## LAYER:COMMUNITIES
COMMUNITY:<name> -> [T<N>, T<M>, <concept>, <concept>] : comprises
COMMUNITY:<name> -> COMMUNITY:<name2> : bridges           ← cross-community link
<concept> -> COMMUNITY:<name> : central_to                ← god node in community

## LAYER:HYPEREDGES
HYPER:<name> -> [T<N>, T<M>, T<K>] : <shared_pattern>    ← turns sharing a pattern
HYPER:<name> -> [<c1>, <c2>, <c3>] : <shared_relation>   ← concepts sharing a relation

Edge Confidence Format

Every edge should carry a confidence tag when not obvious:

T3 -> T5 : builds_on [EXT:1.0]
conv_memory -> tron_block : requires [EXT:1.0]
sparse6_block -> emotion_tracking : relates_to [INF:0.8]
user_archetype -> output_quality : influences [INF:0.6]

Tags: [EXT:1.0] Extracted · [INF:0.0-1.0] Inferred + score · [AMB:0.1-0.3] Ambiguous

All Edge Label Vocabularies

Turn edges: builds_on, refines, contradicts, clarifies, resolves, branches_from, long_range_influence Concept edges: enables, requires, elaborates, replaces, conflicts_with, bridges, generated_from, defines, comprises, complements Emotion edges: escalates_to, resolves_to, sustains, triggers, suppresses, transitions_to File edges: created_at, referenced_at, modified_at, enables, produces, defines Entity edges: first_mentioned, relates_to, created_by, used_in, conflicts_with Character edges: established_at, active_through, shifted_to, triggers, reinforces, conflicts_with Community edges: comprises, bridges, central_to Hyperedge edges: shared_pattern label (e.g. iterative_refinement, co_design_turns, file_creation_cluster)

Sparse6 Rules

• Add new nodes/edges every turn — never remove existing nodes or edges
• Max ~12 new edges per turn to control size
• Complement TRON — don't duplicate row facts; only add relational meaning TRON can't express
• If a concept recurs across turns, link it — don't duplicate the node
• OPEN:yes turns → add T<N> -> open_thread : unresolved in LAYER:TURNS
• INT:decide or BEH:delegating/decisive → mark turn as T<N>[DEC] decision anchor
• CHARSHIFT:yes → add shifted_to arc in LAYER:CHARACTERS + update active_through
• CHG:! → add conflicts_with or replaces edge in LAYER:CONCEPTS
• GOD: detected → add central_to edges in LAYER:COMMUNITIES for that concept
• LAYER:COMMUNITIES updated when 3+ turns share a theme or concept cluster
• LAYER:HYPEREDGES added when 3+ turns or concepts share a non-pairwise pattern

Sparse6 Example

## LAYER:TURNS
T1 -> T2 : builds_on [EXT:1.0]
T2[DEC] -> two_tier_design : decided [EXT:1.0]
T2 -> T3 : clarifies [EXT:1.0]
T3 -> T4 : branches_from [EXT:1.0]
T4 -> T5 : builds_on [EXT:1.0]
T1 -> T5 : long_range_influence [INF:0.9]

## LAYER:CONCEPTS
graphifychat -> [tron_block, sparse6_block, graph_report] : comprises [EXT:1.0]
tron_block -> [U_field, O_field, EMO_field, CHAR_field, INT_field, THR_field, CHG_field, CONF_field, GOD_field] : fields [EXT:1.0]
sparse6_block -> [LAYER:TURNS, LAYER:CONCEPTS, LAYER:EMOTIONS, LAYER:FILES, LAYER:ENTITIES, LAYER:CHARACTERS, LAYER:COMMUNITIES, LAYER:HYPEREDGES] : layers [EXT:1.0]
tron_block -> sparse6_block : complements [EXT:1.0]
graph_report -> tron_block : generated_from [EXT:1.0]
token_efficiency -> [md_on_demand, tron_per_turn] : enables [EXT:1.0]
emotion_tracking -> [EMO_field, LAYER:EMOTIONS] : distributed_across [EXT:1.0]
char_archetypes -> [CHAR_field, LAYER:CHARACTERS] : distributed_across [EXT:1.0]
god_node_detection -> LAYER:COMMUNITIES : feeds_into [INF:0.85]

## LAYER:EMOTIONS
T1.EMO:visionary -> T2.EMO:decisive : resolves_to [INF:0.9]
T2.EMO:focused -> T3.EMO:determined : escalates_to [INF:0.85]
T4.EMO:analytical -> T5.EMO:visionary : resolves_to [INF:0.8]
SHIFT:T4-T5 : analytical -> visionary

## LAYER:FILES
SKILL.md -> T3 : created_at [EXT:1.0]
SKILL.md -> graphifychat : defines [EXT:1.0]
SKILL.md -> [tron_block, sparse6_block, graph_report] : specifies [EXT:1.0]

## LAYER:ENTITIES
graphify[tool] -> T5 : first_mentioned [EXT:1.0]
graphify[tool] -> [god_node_detection, community_detection, hyperedges] : inspired [INF:0.9]

## LAYER:CHARACTERS
visionary -> T1 : established_at [EXT:1.0]
visionary -> T5 : active_through [EXT:1.0]
perfectionistic -> T1 : established_at [EXT:1.0]
perfectionistic -> T4 : active_through [EXT:1.0]
T4.CHAR:perfectionistic -> T5.CHAR:visionary : shifted_to [EXT:1.0]
visionary+excited -> scope_expansion : triggers [INF:0.85]
perfectionistic+analytical -> deep_refinement : triggers [INF:0.9]

## LAYER:COMMUNITIES
COMMUNITY:memory_format -> [T1, T2, tron_block, sparse6_block, two_tier_design] : comprises [INF:0.9]
COMMUNITY:graph_design -> [T4, T5, sparse6_block, community_detection, hyperedges] : comprises [INF:0.85]
COMMUNITY:memory_format -> COMMUNITY:graph_design : bridges [INF:0.8]
tron_block -> COMMUNITY:memory_format : central_to [EXT:1.0]

## LAYER:HYPEREDGES
HYPER:design_decisions -> [T2, T3, T5] : co_design_turns [INF:0.85]
HYPER:core_concepts -> [tron_block, sparse6_block, token_efficiency] : foundation_cluster [EXT:1.0]

---

GRAPH_REPORT — Specification

Generated fresh from TRON + Sparse6. Never maintained independently. Replaces MD Summary.

Format

### God Nodes
<concept> — <1-line description of why it's central>
<concept> — <1-line description>

### Surprising Connections
<connection> — <1-line why it's unexpected or important>

### Session Summary
- <bullet 1: what was built or decided>
- <bullet 2: key emotion or character arc>
- <bullet 3: open threads or unresolved items>
- <bullet 4: files created or attachments processed>
- <bullet 5: resumability note — what a cold LLM needs to know first>

### Suggested Questions
1. <question the graph is uniquely positioned to answer>
2. <cross-thread bridge question>

Rules

• Summary: exactly 4–5 bullets. No prose paragraphs. Each bullet is 1 line.
• God nodes: only list concepts with 5+ Sparse6 edges or appearing in 3+ TRON turns
• Surprising connections: cross-thread or cross-community bridges a cold LLM wouldn't expect
• Suggested questions: pick ones that cross community boundaries or reveal non-obvious paths
• Include attachment details humanly: 📎 doc.pdf — quarterly sales data, 3 pages
• Include created files humanly: 📁 SKILL.md — graphifychat skill definition
• Show archetype if detected: 🧠 User profile: visionary:5 + perfectionistic:4 throughout

---

RES: Resumability Score

Computed and shown in file header at every update.

Formula: RES = 10 - (OPEN_count × 2) - (unresolved_threads) + (DEC_count × 0.5) Cap: 1 minimum, 10 maximum. Round to integer.

Score	Meaning
8–10	Cold LLM can resume with near-zero context loss
5–7	Read TRON carefully — a few open threads
1–4	Export GRAPH_REPORT before switching AI

---

Update Protocol

Auto mode (called at start):

1. Every turn: append one TRON line (all fields)
2. Every turn: append/update Sparse6 edges (all 8 layers)
3. Auto-detect: SHIFT, CHARSHIFT, GOD, decision anchors, unresolved edges
4. Update LAYER:COMMUNITIES when cluster emerges (3+ turns/concepts share a theme)
5. Update LAYER:HYPEREDGES when 3+ items share a non-pairwise pattern
6. Recompute RES score
7. If turn ≤ 3: also generate GRAPH_REPORT
8. Output full file as raw fenced code block

Manual mode (called mid-conversation):

1. Append all missed turns to TRON (retroactively from last update)
2. Append all missed Sparse6 edges
3. Recompute communities, hyperedges, RES
4. Output full file as raw fenced code block
5. Only generate GRAPH_REPORT if explicitly requested

On /graphifychat report:

Regenerate GRAPH_REPORT fresh from full TRON + Sparse6. Never from cached text.

Never:

• Remove TRON lines
• Remove Sparse6 nodes or edges
• Output rendered Markdown
• Truncate TRON (all turns T1→TN always present)

---

Portability Rules

The file must be self-contained for cold AI resumption:

• No local path references
• File descriptions meaningful without the file present
• TRON readable cold by any LLM T1→TN
• Sparse6 self-describing via layer labels and edge vocabulary
• CONF tags tell a cold LLM what was certain vs inferred
• GOD nodes tell a cold LLM where to start reading
• LAYER:COMMUNITIES gives the topic map without reading every turn
• RES score gives immediate sense of how much context would be lost
• CHAR archetypes tell any AI how to interact with this user

---

Full Example Output (Turn 5, auto mode, GRAPH_REPORT generated)

```md
# graphifychat: graphifychat Skill Co-Design
_Turns: 5 | Files: 1 | Open: 0 | Gods: 3 | RES: 9 | Updated: 2026-04-25_

---

## TRON
\```tron
T1|U:portable conv memory,md+tron,track prompts+files+attachments,usable other AIs|O:questions asked,format options,two-tier proposed|INT:explore|THR:a|CHG:+|OPEN:yes|EMO:visionary:4,curious:3,pragmatic:3|BEH:co_designing|CHAR:visionary:4,perfectionistic:3|CONF:EXT
T2|U:tron keywords,md on demand,single file,no rendering|O:two-tier confirmed,tron source of truth|INT:decide|THR:a|CHG:~|OPEN:no|EMO:decisive:4,focused:4,analytical:2|BEH:clarifying|CHAR:visionary:4,perfectionistic:3|CONF:EXT
T3|U:write skill,full spec|O:SKILL.md written,all fields,update protocol|F:SKILL.md|INT:create|THR:a|CHG:+|OPEN:no|EMO:determined:5,satisfied:3,impatient:2|BEH:delegating|CHAR:visionary:4,perfectionistic:3|CONF:EXT|GOD:tron_format
T4|U:suggest improvements,token efficiency,10 ideas|O:diagram shown,6 improvements,tier ranking|INT:explore|THR:a|CHG:~|OPEN:yes|EMO:analytical:5,pragmatic:4,perfectionistic:3|BEH:pressure_testing|CHAR:perfectionistic:5,visionary:3|CONF:EXT|GOD:token_efficiency
T5|U:add sparse6,visible to hidden,emotional+behavioral,layered nodes|O:sparse6 designed,6 layers,adjacency format|INT:create|THR:a|CHG:+|OPEN:no|SHIFT:yes|EMO:visionary:5,ambitious:4,excited:3|BEH:abstracting|CHAR:visionary:5,perfectionistic:3|CHARSHIFT:yes|CONF:EXT|GOD:sparse6_block
\```

---

## Sparse6
\```sparse6
## LAYER:TURNS
T1 -> T2 : builds_on [EXT:1.0]
T2[DEC] -> two_tier_design : decided [EXT:1.0]
T2 -> T3 : clarifies [EXT:1.0]
T3 -> T4 : branches_from [EXT:1.0]
T4 -> T5 : builds_on [EXT:1.0]

## LAYER:CONCEPTS
graphifychat -> [tron_block, sparse6_block, graph_report] : comprises [EXT:1.0]
tron_block -> sparse6_block : complements [EXT:1.0]
token_efficiency -> [md_on_demand, tron_per_turn] : enables [EXT:1.0]
emotion_tracking -> [EMO_field, LAYER:EMOTIONS] : distributed_across [EXT:1.0]

## LAYER:EMOTIONS
T1.EMO:visionary -> T2.EMO:decisive : resolves_to [INF:0.9]
T2.EMO:focused -> T3.EMO:determined : escalates_to [INF:0.85]
T4.EMO:analytical -> T5.EMO:visionary : resolves_to [INF:0.8]
SHIFT:T4-T5 : analytical -> visionary

## LAYER:FILES
SKILL.md -> T3 : created_at [EXT:1.0]
SKILL.md -> graphifychat : defines [EXT:1.0]

## LAYER:ENTITIES
graphify[tool] -> T5 : first_mentioned [EXT:1.0]

## LAYER:CHARACTERS
visionary -> T1 : established_at [EXT:1.0]
visionary -> T5 : active_through [EXT:1.0]
perfectionistic -> T1 : established_at [EXT:1.0]
T4.CHAR:perfectionistic -> T5.CHAR:visionary : shifted_to [EXT:1.0]
visionary+excited -> scope_expansion : triggers [INF:0.85]

## LAYER:COMMUNITIES
COMMUNITY:core_design -> [T1, T2, tron_block, two_tier_design] : comprises [INF:0.9]
COMMUNITY:graph_layer -> [T4, T5, sparse6_block, token_efficiency] : comprises [INF:0.85]
COMMUNITY:core_design -> COMMUNITY:graph_layer : bridges [INF:0.8]
tron_block -> COMMUNITY:core_design : central_to [EXT:1.0]

## LAYER:HYPEREDGES
HYPER:design_decisions -> [T2, T3, T5] : co_design_turns [INF:0.85]
HYPER:core_concepts -> [tron_block, sparse6_block, token_efficiency] : foundation_cluster [EXT:1.0]
\```

---

## GRAPH_REPORT

### God Nodes
tron_block — the central data structure everything connects through; source of truth
sparse6_block — relational layer that gives TRON its context; introduced T5
token_efficiency — the design constraint that shaped every protocol decision

### Surprising Connections
token_efficiency -> community_detection — cost constraints directly shaped graph topology design

### Session Summary
- Built graphifychat skill: TRON (15 fields) + Sparse6 (8 layers) + GRAPH_REPORT format designed
- User arc: visionary→decisive→determined→analytical→visionary — expansive then focused then expanding again
- 0 open threads; 2 decision anchors at T2 (two-tier) and T3 (full spec)
- 📁 SKILL.md — complete graphifychat skill definition
- 🧠 User: visionary:5 + perfectionistic:4 — builds ambitious systems then refines every detail

### Suggested Questions
1. How does LAYER:COMMUNITIES change what a cold LLM can do with this file?
2. What would a LAYER:HYPEREDGES entry look like for this session's design decisions?
```