- Remove bin/ from DEFAULT_IGNORE_PATTERNS (Node/Ruby CLI launchers use bin/)
- .NET users can add bin/ to .understandignore manually
- Fix project-scanner Step 2.5 to re-filter from original file list when
.understandignore exists, ensuring ! negation correctly overrides defaults
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Add Python scripts to merge knowledge graphs (closes#70) and move
mechanical normalization out of LLM context into deterministic scripts
with diagnostic reporting. Convert all agent definitions from dispatch
templates to self-contained system prompts to prevent instruction loss.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
The previous wording ("MUST have sub-nodes") implied every code file
must produce function nodes, which is wrong for files without significant
functions. Now correctly states: if significant functions exist in the
script output, you must create nodes for them.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Prompt templates (file-analyzer, project-scanner, architecture-analyzer,
tour-builder, graph-reviewer) were being compressed by the orchestrator
when dispatched as subagent prompts, causing function/class extraction
to be silently skipped. Moving them to agents/ ensures the framework
loads the full prompt without compression.
- Move 5 prompt templates from skills/understand/ to agents/
- Update SKILL.md to reference agent definitions instead of templates
- Set all agent models to `inherit` for cross-platform compatibility
- Update CLAUDE.md to reflect new agent model policy
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
LLMs systematically abbreviate node types (e.g. "func" instead of
"function") and edge types (e.g. "extends" instead of "inherits"),
causing dashboard validation failures. This combines two fixes:
Option A: Rename the ambiguous `func:` ID prefix to `function:` across
all prompts, source code, tests, and example data so LLMs see consistent
naming. Also fix `relates_to` ghost edge type in django.md.
Option B: Add NODE_TYPE_ALIASES and EDGE_TYPE_ALIASES normalization maps
in schema.ts that transparently correct common abbreviations before Zod
validation, as a runtime safety net.
Closes#36
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Edge weights, node ID prefix conventions, and tag formatting were listed
in both Check 1 (Schema Validation — Critical) and Check 7 (Quality —
Warning). A deterministic script following check headings would classify
these as warnings, potentially approving invalid graphs. Remove the
duplicates from Check 7 since Check 1 already covers them as critical.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
The exclusion rule conditionally kept .sh files for bash-first projects,
but the source-file whitelist and language mapping table had no .sh entry,
causing retained shell files to be dropped or untyped. Add .sh/.bash to
the whitelist and language table (mapped to 'bash'), and remove the
conditional exclusion rule.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Duplicate node IDs were listed under Check 6 (Warning) but classified as
critical in the Severity Classification section. A script following check
headings would classify duplicates as warnings, letting invalid graphs
pass review. Move duplicate-ID check to its own Check 5 (Critical) and
renumber subsequent checks.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Redesign all 5 agent prompts with a "Phase 1 — Script" + "Phase 2 — LLM
Reasoning" structure. Agents now write and execute scripts for deterministic
work (validation, file discovery, structure extraction, graph analysis)
before applying LLM judgment for semantic tasks (summaries, tags, pedagogy).
Key changes per agent:
- graph-reviewer: script performs all 6 validation checks deterministically
- project-scanner: script handles file discovery, language detection, line counting
- file-analyzer: script extracts functions/classes/imports via regex patterns
- architecture-analyzer: script computes import adjacency, inter-group frequency
- tour-builder: script calculates fan-in, BFS traversal, cluster detection
Design safeguards:
- scriptCompleted sentinel field guards against partial script output
- Batch-indexed temp paths prevent collision in concurrent file-analyzer agents
- Explicit "trust the script" directives prevent LLM from re-reading raw data
- Up to 2 script retries on failure
- Explicit instructions to strip intermediate fields from final output
- Bash tool added to all agent tool lists
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Remove ChatPanel and @anthropic-ai/sdk dependency (redundant with /understand-chat)
- Replace Monaco editor with styled summary code viewer
- New graph-first layout: 75% graph + 360px right sidebar
- Dark luxury aesthetic: deep blacks, gold/amber accents, DM Serif Display typography
- Add ProjectOverview component for sidebar default state
- Learn persona now shows tour panel directly in sidebar
- Add schema validation on graph load with error banner
- Defensive null checks in store for tour methods
- Agent pipeline: write intermediate results to disk instead of context
- Agent models: sonnet for simple tasks, opus for complex (no haiku)
- Prompt-engineer all 5 agent prompts and SKILL.md
- Auto-trigger /understand-dashboard after /understand completes
- Add dashboard screenshot to README
- Bump version to 1.0.1
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Move packages/{core,dashboard,skill} into understand-anything-plugin/ to
conform to the Claude Code plugin format. Add .claude-plugin/marketplace.json
for plugin discovery. Update workspace config and docs accordingly.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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