skills/help/SKILL.md
Contextual guidance and command discovery. Three modes — narrative (first-time), contextual (mid-task), compact (quick reference). Shows available commands, active skills, and intelligent suggestions based on vault state. Triggers on "/help", "what can I do", "show commands", "how does this work".
npx skillsauth add agenticnotetaking/arscontexta helpInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Target: $ARGUMENTS
Parse immediately:
--compact: force compact mode regardless of vault stateExecute these steps:
START NOW. Reference below defines each step.
Determine the notes folder by checking which domain-named directory exists (notes/, reflections/, concepts/, ideas/, decisions/, memories/, or any custom name from derivation-manifest.md). Then gather counts:
.md files in the notes folder, excluding MOCs (files with type: moc in frontmatter).md files in the inbox folder (inbox/, journal/, encounters/, etc.).md files in ops/observations/ or ops/methodology/.md files in ops/tensions/[[) across notes folder; sparse if fewer than 2x note countops/queue/queue.yaml or ops/queue/queue.jsonops/health/ if it existsops/tutorial-state.yaml for incomplete tutorialops/sessions/ file count (indicates usage maturity)# Quick state gathering
note_count=$(ls -1 {vocabulary.notes}/*.md 2>/dev/null | wc -l | tr -d ' ')
inbox_count=$(ls -1 {vocabulary.inbox}/*.md 2>/dev/null | wc -l | tr -d ' ')
obs_count=$(ls -1 ops/observations/*.md ops/methodology/*.md 2>/dev/null | wc -l | tr -d ' ')
tension_count=$(ls -1 ops/tensions/*.md 2>/dev/null | wc -l | tr -d ' ')
Read ops/derivation-manifest.md (or fall back to ops/derivation.md Vocabulary Mapping section). Extract domain-native names for: reduce, reflect, reweave, verify, rethink, note, MOC, inbox. If neither file exists, use universal names.
For display, show domain name with universal in parentheses when they differ:
/{domain:reduce} (reduce) Extract patterns from journal entries
If domain name equals universal name, show just the name:
/reduce Extract insights from source material
| Condition | Mode |
|-----------|------|
| --compact in arguments | Compact |
| Specific skill name in arguments | Skill detail |
| Note count < 5 | Narrative |
| Note count >= 5 | Contextual |
Scan ${CLAUDE_PLUGIN_ROOT}/skills/ dynamically:
SKILL.md (e.g., reduce/SKILL.md)Extract name: and description: from each frontmatter. Do NOT hardcode the command list.
Command categories:
| Category | Commands | When to Show | |----------|----------|-------------| | Core | /ask, /learn, /next, /help | Always | | Processing | /reduce, /reflect, /reweave, /verify | Always (all skills from day one) | | Maintenance | /health, /rethink, /remember | Always | | Evolution | /architect, /reseed, /add-domain, /upgrade | Always | | Meta | /tutorial, /graph, /stats | Always |
This is the first impression. The user is new or nearly new. Explain what the system IS before listing what it DOES.
What narrative mode communicates:
--=={ ars contexta : help }==--
Your knowledge system is ready. It turns thoughts
into a connected graph where every note compounds
the value of every other note.
[If ops/derivation.md exists:]
Your system: [domain description from derivation]
Getting started:
Tell me a thought, observation, or question.
I will turn it into a note and show you what
the system does with it.
Or try one of these:
/ask [question] Ask about [domain] -- I will
answer from your graph
/learn [topic] Research [topic] and grow
your graph with findings
/tutorial Walk through the system
step by step (5 minutes)
As your graph grows, you will use:
/reduce [source] Extract insights from articles,
notes, or any raw material
/reflect Find connections between notes
/health Check your system's health
Your system also learns from experience:
/remember Capture when something goes wrong
(your system remembers corrections)
/ask [question] Ask about [domain] -- answers draw
from 249 methodology notes AND your
system's own methodology notes
Type /help anytime for guidance.
Manual reference (if manual/ exists):
If the vault contains a manual/ directory, add to the narrative output:
For a deeper guide, read manual/getting-started.md
or explore the full manual in manual/manual.md.
Key principles for narrative mode:
The user has been working. Show them what is happening NOW and what would be most valuable NEXT.
What contextual mode communicates:
--=={ ars contexta : help }==--
Your system: [domain] knowledge graph
[N] notes, [M] connections, [P] pending tasks
Right now:
[State-aware observations — pick up to 3 most relevant:]
Your inbox has [N] items (oldest: [age])
[N] pending observations -- approaching /rethink threshold
Pipeline: [N] tasks at [phase] phase
[N] notes have sparse connections (< 2 links)
Suggested:
[Single most valuable next action with rationale]
[If user hasn't tried certain commands:]
Commands you might not know:
/remember Capture when something goes wrong
(teaches your system from friction)
/graph Explore your knowledge graph visually
/stats See vault metrics in shareable format
All commands:
/ask [question] Query your knowledge system
/learn [topic] Research and grow your graph
/next Next recommended action
/{reduce} [source] Extract insights from material
/{reflect} Find connections between notes
/{reweave} Update older notes
/verify [note] Combined quality verification
/health Run vault diagnostics
/{rethink} Challenge assumptions
/remember Capture methodology learning
/architect Research-backed evolution advice
/reseed Principled restructuring
/add-domain Extend with a new domain
/upgrade Check for skill improvements
/tutorial Interactive walkthrough
/graph Graph exploration
/stats Vault metrics
State-aware suggestion logic:
Pick the FIRST matching condition:
| Condition | Suggestion |
|-----------|-----------|
| Inbox has items | Process your inbox: /{reduce} [oldest-inbox-item-filename] |
| Pipeline has pending tasks | Resume processing: /next |
| 10+ observations or 5+ tensions | Review accumulated evidence: /{rethink} |
| Health warnings exist | Check health: /health |
| Notes exist, sparse connections | Build connections: /{reflect} |
| User hasn't tried /learn | Grow your graph: /learn [topic related to their domain] |
| Methodology folder has friction notes | Your system is learning from friction -- review with /{rethink} |
| Methodology folder has notes beyond derivation-rationale | Your system has [N] operational learnings -- query them with /ask or browse ops/methodology/ |
| Sessions accumulating without mining | Mine session learnings: /remember |
| Healthy vault, no pressure | What is next: /next |
Reference a specific file when possible (e.g., the actual oldest inbox filename, the actual pending task description).
Manual page suggestion (if manual/ exists): Based on the first matching state-aware condition, suggest the relevant manual page:
| Condition | Manual Page | |-----------|------------| | Inbox has items | [[workflows]] (processing pipeline) | | Pipeline has pending tasks | [[workflows]] (batch processing) | | Observations/tensions accumulated | [[meta-skills]] (/rethink guide) | | Health warnings exist | [[troubleshooting]] | | Sparse connections | [[workflows]] (connection finding) | | General orientation needed | [[getting-started]] |
Add: For details, see manual/{page}.md
"Commands you might not know" logic:
Track which commands the user has likely used by checking for their artifacts:
ops/sessions/ has learn-related transcripts or inbox has research filesops/methodology/ or ops/observations/ has filesShow up to 3 commands the user probably has not tried. Skip commands they clearly have used.
Quick reference. No state analysis. No suggestions. Just the commands.
--=={ ars contexta : help --compact }==--
/ask [question] Query knowledge system
/learn [topic] Research and grow graph
/next Next recommended action
/{reduce} [source] Extract insights
/{reflect} Find connections
/{reweave} Update older notes
/verify [note] Quality verification
/health Vault diagnostics
/{rethink} Challenge assumptions
/remember Capture methodology learning
/architect Evolution advice
/reseed Restructure system
/add-domain Add new domain
/upgrade Check for improvements
/tutorial Interactive walkthrough
/graph Graph exploration
/stats Vault metrics
/help This guide
When the user asks for help with a specific skill (e.g., /help reduce or /help reflect):
--=={ ars contexta : help /{skill-name} }==--
{Description from frontmatter}
Usage:
/{skill-name} [arguments]
Examples:
/{skill-name} inbox/article.md
/{skill-name} --since 7d
What it does:
{2-3 sentence summary extracted from the skill's
philosophy or first methodology section}
Related:
/{related-skill} {one-line description}
Special case for /help ask: Expand the "What it does" section to mention both knowledge layers:
What it does:
Queries the bundled methodology knowledge base (249
research claims) AND your local methodology notes
in ops/methodology/. Answers are grounded in
specific claims and applied to your system's
configuration.
Extract the pipeline position (what comes before and after this skill) to show workflow context.
Manual cross-reference: If manual/skills.md exists, also check it for additional context about the requested skill. The manual may contain domain-specific examples and workflow context that the SKILL.md frontmatter does not include.
/reduce), not plugin-qualified forms (/arscontexta:reduce)/{reduce}) are resolved from derivation-manifest.mdNo ops/derivation-manifest.md: Use universal vocabulary for all command names.
Pre-init invocation: If no vault structure exists at all (no notes folder, no ops/), show a minimal message:
Ars Contexta is not initialized in this directory.
Run /setup to create your knowledge system.
Multiple domains: If ops/derivation-manifest.md lists multiple domains, show commands grouped by domain in contextual mode.
tools
Apply plugin knowledge base updates to an existing generated system. Consults the Ars Contexta research graph for methodology improvements, proposes skill upgrades with research justification. Never auto-implements. Triggers on "/upgrade", "upgrade skills", "check for improvements", "update methodology".
documentation
Interactive walkthrough for new users. Learn by doing — each step creates real content in your vault. Three tracks (researcher, manager, personal) with a universal learning arc. Triggers on "/tutorial", "walk me through", "how do I use this".
testing
Scaffold a complete knowledge system. Detects platform, conducts conversation, derives configuration, generates everything. Validates against 15 kernel primitives. Triggers on "/setup", "/setup --advanced", "set up my knowledge system", "create my vault".
testing
Re-derive your knowledge system from first principles when structural drift accumulates. Analyzes dimension incoherence, vocabulary mismatch, boundary dissolution, and template divergence. Preserves all content while restructuring architecture.