soumyakantabera 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 : unresolvedin LAYER:TURNS - INT:decide or BEH:delegating/decisive → mark turn as
T<N>[DEC]decision anchor - CHARSHIFT:yes → add
shifted_toarc in LAYER:CHARACTERS + updateactive_through - CHG:! → add
conflicts_withorreplacesedge in LAYER:CONCEPTS - GOD: detected → add
central_toedges 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):
- Every turn: append one TRON line (all fields)
- Every turn: append/update Sparse6 edges (all 8 layers)
- Auto-detect: SHIFT, CHARSHIFT, GOD, decision anchors, unresolved edges
- Update LAYER:COMMUNITIES when cluster emerges (3+ turns/concepts share a theme)
- Update LAYER:HYPEREDGES when 3+ items share a non-pairwise pattern
- Recompute RES score
- If turn ≤ 3: also generate GRAPH_REPORT
- Output full file as raw fenced code block
Manual mode (called mid-conversation):
- Append all missed turns to TRON (retroactively from last update)
- Append all missed Sparse6 edges
- Recompute communities, hyperedges, RES
- Output full file as raw fenced code block
- 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?
```