next

name	next
description	Surface the most valuable next action by combining task stack, queue state, inbox pressure, health, and goals. Recommends one specific action with rationale. Triggers on "/next", "what should I do", "what's next".
version	1.0
generated_from	arscontexta-v1.6
user-invocable	true
context	fork
model	opus
allowed-tools	Read, Grep, Glob, Bash

Runtime Configuration (Step 0 — before any processing)

Read these files to configure domain-specific behavior:

1. arscontexta/ops/derivation-manifest.md — vocabulary mapping, domain context

   • Use vocabulary.notes for the notes folder name
   • Use vocabulary.inbox for the inbox folder name
   • Use vocabulary.note for the note type name in output
   • Use vocabulary.topic_map for MOC references
   • Use vocabulary.cmd_reduce for process/extract command
   • Use vocabulary.cmd_reflect for connection-finding command
   • Use vocabulary.cmd_reweave for backward-pass command
   • Use vocabulary.rethink for rethink command name

2. arscontexta/ops/config.yaml — thresholds, processing preferences

   • self_evolution.observation_threshold (default: 10)
   • self_evolution.tension_threshold (default: 5)

If these files don't exist, use universal defaults and generic command names.

EXECUTE NOW

INVARIANT: /next recommends, it does not execute. Present one recommendation with rationale. The user decides what to do. This prevents cognitive outsourcing where the system makes all work decisions and the user becomes a rubber stamp.

Execute these steps IN ORDER:

---

Step 1: Read Vocabulary

Read arscontexta/ops/derivation-manifest.md (or fall back to arscontexta/ops/derivation.md) for domain vocabulary mapping. All output must use domain-native terms. If neither file exists, use universal terms (notes, inbox, topic map, etc).

---

Step 2: Reconcile Maintenance Queue

Before collecting state, evaluate all maintenance conditions and reconcile the queue. This ensures maintenance tasks are current before the recommendation engine runs.

Read queue file (arscontexta/ops/queue/queue.json or arscontexta/ops/queue.yaml). If schema_version < 3, migrate:

• Add maintenance_conditions section with default thresholds
• Add priority field to existing tasks (default: "pipeline")
• Set schema_version: 3

For each condition in maintenance_conditions:

1. Evaluate the condition:

Condition	Evaluation Method
orphan_notes	For each note in docs/notes/, count incoming [[links]]. Zero = orphan.
dangling_links	Extract all [[links]], verify targets exist as files. Missing = dangling.
inbox_pressure	Count *.md in arscontexta/inbox/.
observation_accumulation	Count status: pending in arscontexta/ops/observations/.
tension_accumulation	Count status: pending or open in arscontexta/ops/tensions/.
pipeline_stalled	Queue tasks with status: pending unchanged across sessions.
unprocessed_sessions	Count files in arscontexta/ops/sessions/ without mined: true.
moc_oversize	For each topic map, count linked notes.
stale_notes	Notes not modified in 30+ days with < 2 links.
low_link_density	Average link count across all notes.
methodology_drift	Compare config.yaml modification time vs newest arscontexta/ops/methodology/ note modification time. If config is newer, methodology may be stale.

2. If condition exceeds threshold AND no pending task with this condition_key exists:

Create maintenance task:

TIMESTAMP=$(date -u +"%Y-%m-%dT%H:%M:%SZ")
MAINT_MAX=$(jq '[.tasks[] | select(.id | startswith("maint-")) | .id | ltrimstr("maint-") | tonumber] | max // 0' arscontexta/ops/queue/queue.json)
NEXT_MAINT=$((MAINT_MAX + 1))

jq --arg id "maint-$(printf '%03d' $NEXT_MAINT)" \
   --arg priority "{priority}" \
   --arg key "{condition_key}" \
   --arg target "{description}" \
   --arg action "{recommended command}" \
   --arg ts "$TIMESTAMP" \
   '.tasks += [{"id": $id, "type": "maintenance", "priority": $priority, "status": "pending", "condition_key": $key, "target": $target, "action": $action, "auto_generated": true, "created": $ts}]' \
   arscontexta/ops/queue/queue.json > tmp.json && mv tmp.json arscontexta/ops/queue/queue.json

3. If condition is satisfied AND a pending task with this condition_key exists:

Auto-close it:

TIMESTAMP=$(date -u +"%Y-%m-%dT%H:%M:%SZ")
jq --arg key "{condition_key}" --arg ts "$TIMESTAMP" \
   '(.tasks[] | select(.condition_key == $key and .status == "pending")).status = "done" |
    (.tasks[] | select(.condition_key == $key and .status == "pending")).completed = $ts' \
    arscontexta/ops/queue/queue.json > tmp.json && mv tmp.json arscontexta/ops/queue/queue.json

4. If condition fires AND a pending task already exists:

Update the target description (specifics may have changed):

jq --arg key "{condition_key}" --arg target "{new description}" \
   '(.tasks[] | select(.condition_key == $key and .status == "pending")).target = $target' \
   arscontexta/ops/queue/queue.json > tmp.json && mv tmp.json arscontexta/ops/queue/queue.json

---

Step 3: Collect Vault State

Gather all signals. Run independent checks in parallel where possible. Record each signal even if the check returns zero — absence of signal is itself informative.

Signal	How to Check	What to Record
Task stack	Read arscontexta/ops/tasks.md — current priorities and open items	Top items, open count, any deadlines
Queue state	Read arscontexta/ops/queue.yaml or arscontexta/ops/queue/queue.json — pending pipeline tasks	Total pending, by phase (create, reflect, reweave, verify), blocked phases
Inbox pressure	Count *.md files in arscontexta/inbox/, find oldest by mtime	Count per subdirectory, age of oldest item in days
Note count	Count *.md in docs/notes/	Total notes for context
Orphan notes	For each note, grep for [[filename]] across all files — zero hits = orphan	Count, first 5 names
Dangling links	Extract all [[links]] from notes/, verify each target file exists	Count, first 5 targets
Stale notes	Notes not modified recently AND with low link density (< 2 links)	Count
Goals	Read arscontexta/self/goals.md or arscontexta/ops/goals.md — current priorities, active threads	Priority list, active research directions
Observations	Count files with status: pending in arscontexta/ops/observations/	Count
Tensions	Count files with status: pending or status: open in arscontexta/ops/tensions/	Count
Methodology	Check arscontexta/ops/methodology/ for recent captures (files modified in last 7 days)	Count of recent, total count
Health	Read most recent report in arscontexta/ops/health/ — note timestamp and issues	Last run date, issue count, any critical issues
Sessions	Check arscontexta/ops/sessions/ for files without mined: true in frontmatter	Count of unmined sessions
Recent /next	Read arscontexta/ops/next-log.md (if exists) — last 3 recommendations	Previous suggestions to avoid repetition

Adaptation rules:

• Directory names adapt to domain vocabulary (e.g., inbox instead of hardcoded "inbox")
• Skip checks silently for directories that do not exist — do not report "arscontexta/ops/sessions/ not found"
• A missing directory means that feature is not active, which is valid state

Signal collection commands:

# Inbox pressure (adapt path to vocabulary)
INBOX_COUNT=$(find arscontexta/inbox/ -name "*.md" -maxdepth 2 2>/dev/null | wc -l | tr -d ' ')
OLDEST_INBOX=$(find arscontexta/inbox/ -name "*.md" -maxdepth 2 -exec stat -f "%m %N" {} \; 2>/dev/null | sort -n | head -1)

# Note count
NOTE_COUNT=$(ls -1 docs/notes/*.md 2>/dev/null | wc -l | tr -d ' ')

# Pending observations
OBS_COUNT=$(grep -rl '^status: pending' arscontexta/ops/observations/ 2>/dev/null | wc -l | tr -d ' ')

# Pending tensions
TENSION_COUNT=$(grep -rl '^status: pending\|^status: open' arscontexta/ops/tensions/ 2>/dev/null | wc -l | tr -d ' ')

# Unmined sessions
SESSION_COUNT=$(grep -rL '^mined: true' arscontexta/ops/sessions/*.md 2>/dev/null | wc -l | tr -d ' ')

---

Step 4: Classify by Consequence Speed

Evaluate every signal against consequence speed — how fast does inaction degrade the system?

Speed	Signals	Threshold	Why This Priority
Session	Inbox > 5 items, orphan notes (any), dangling links (any), 10+ pending observations, 5+ pending tensions, unprocessed sessions > 3	Immediate — these degrade work quality right now	Orphans are invisible to traversal. Dangling links confuse navigation. Inbox pressure means lost ideas. Observation/tension thresholds mean the system is accumulating unprocessed friction.
Multi-session	Pipeline queue backlog > 10, research gaps identified in goals, stale notes > 10, inbox items aging > 7 days, methodology captures > 5 in same category	Soon — these compound over days	Unfinished pipeline batches block downstream connections. Stale notes represent decaying knowledge. Aging inbox means capture is outpacing processing.
Slow	Health check not run in 14+ days, index oversized (>40 notes), link density below 2.0 average, low note count relative to time	Background — annoying but not blocking	These are maintenance tasks. Important for long-term health but not urgent.

Threshold rule: 10+ pending observations OR 5+ pending tensions is ALWAYS session-priority. Recommend rethink in this case.

Signal interaction rules:

• Task stack items ALWAYS override automated recommendations (user-set priorities beat system-detected urgency)
• Multiple session-priority signals: pick the one with highest impact (most items affected)
• If inbox pressure AND queue backlog: recommend reducing inbox first (pipeline needs input before it can process)

---

Step 5: Generate Recommendation

Select the SINGLE most valuable action. The recommendation must be specific enough to execute immediately — a concrete command invocation, not a vague suggestion.

Priority cascade:

1. Task Stack First

If arscontexta/ops/tasks.md has open items, recommend from the task stack. User-set priorities override all automated recommendations because:

• The user has context the system does not
• Ignoring explicit priorities erodes trust
• Task stack items represent deliberate decisions, not automated detection

Format: Recommend the specific task with context about why it was in the stack.

1.5. Session-Priority Maintenance Tasks

Read queue for maintenance tasks with priority: "session" and status: "pending". These represent vault health conditions that degrade THIS session.

Pick the highest-impact one:

• orphan_notes: "{N} notes invisible to traversal"
• dangling_links: "{N} broken links confusing navigation"
• inbox_pressure: "{N} items aging in inbox"

Recommend the action field from the queue entry.

2. Session-Priority Signals

If no task stack items, pick the highest-impact session-priority signal:

Signal	Recommendation	Rationale Template
Dangling links / orphans	/health or specific fix command	"You have [N] orphan notes invisible to traversal. Connecting them increases graph density and retrieval quality."
10+ observations or 5+ tensions	/rethink	"[N] pending observations have accumulated. Pattern detection requires processing this backlog to evolve the system."
Inbox > 5 items	/extract [specific file]	"Your inbox has [N] items (oldest: [age]). [File X] has the highest connection potential based on [reason]."
Unprocessed sessions > 3	/remember --mine-sessions	"[N] sessions have uncaptured friction patterns. Mining them prevents methodology regressions."

When recommending inbox processing: Choose the specific inbox item that aligns best with current goals or has the most connection potential to existing notes. Recommend a concrete file, not "process some inbox."

3. Multi-Session Signals

If no session-priority items:

Signal	Recommendation	Rationale Template
Queue backlog > 10	/ralph [N]	"[N] pipeline tasks are pending. Your newest docs/notes lack connections, which means they can't participate in synthesis."
Stale notes > 10	/revisit [specific note]	"[N] notes haven't been touched since [date]. [Note X] has the most connections and would benefit most from updating."
Research gaps	/extract [file aligned with goals]	"Your goals mention [topic] but your graph has few notes there. [Inbox item] addresses this gap."
Methodology convergence	/rethink	"[N] methodology captures in the [category] area suggest a pattern worth elevating."

When recommending reweaving: Choose the most-connected stale note (highest link density + oldest modification). Reweaving high-connectivity notes has the highest ripple effect.

4. Slow Signals

If nothing pressing:

Signal	Recommendation	Rationale Template
No recent health check	/health	"Last health check was [date]. Running one now catches structural issues before they compound."
Topic map oversized	Restructuring suggestion	"[Topic map X] has [N] notes. Splitting into sub-topic-maps improves navigation and reduces cognitive load."
Low link density	/revisit on lowest-density note	"Your graph has an average link density of [N]. Reweaving sparse notes increases traversal paths."

5. Everything Clean

If all signals are healthy:

next

  All signals healthy.
  Inbox: 0 | Queue: 0 pending | Orphans: 0 | Dangling: 0

  No urgent work detected.

  Suggested: Explore a new direction from goals.md
  or reweave older docs/notes to deepen the graph.

Rationale is always mandatory. Every recommendation must explain:

1. WHY this action over alternatives
2. What DEGRADES if this action is deferred
3. How it connects to goals (if applicable)

---

Step 6: Deduplicate

Read arscontexta/ops/next-log.md (if it exists). Check the last 3 entries.

Deduplication rules:

• If the same recommendation appeared in the last 2 entries, select the next-best action instead
• This prevents the system from getting stuck recommending the same thing repeatedly when the user has chosen not to act on it
• If the same recommendation is genuinely the highest priority (e.g., inbox pressure keeps growing), add an explicit note: "This was recommended previously. The signal has grown stronger since then ([before] → [now])."

---

Step 7: Output

next

  State:
    Inbox: [count] items (oldest: [age])
    Queue: [count] pending ([phase breakdown])
    Orphans: [count] | Dangling: [count]
    Observations: [count] | Tensions: [count]
    [any other decision-relevant signals]

  Recommended: [specific command/action]

  Rationale: [2-3 sentences — why this action,
  how it connects to goals, what degrades if deferred]

  After that: [second priority, if relevant]
  [optional: alignment with goals.md priority]

Command specificity is mandatory. Recommendations must be concrete invocations:

Good	Bad
/extract arscontexta/inbox/article-on-spaced-repetition.md	"process some inbox items"
/ralph 5	"work on the queue"
/rethink	"review your observations"
/revisit [[note title here]]	"update some old notes"

State display rules:

• Show only 2-4 decision-relevant signals — not all 14 checks
• Zero-count signals that are healthy can be omitted (don't show "Orphans: 0" unless contrasting with a problem)
• Non-zero signals at session or multi-session priority should always be shown

---

Step 8: Log the Recommendation

Append to arscontexta/ops/next-log.md (create if missing):

## YYYY-MM-DD HH:MM

**State:** Inbox: [N] | Notes: [N] | Orphans: [N] | Dangling: [N] | Stale: [N] | Obs: [N] | Tensions: [N] | Queue: [N]
**Recommended:** [action]
**Rationale:** [one sentence]
**Priority:** session | multi-session | slow

Why log? The log serves three purposes:

1. Deduplication — prevents recommending the same action repeatedly
2. Evolution tracking — shows what signals have been persistent vs transient
3. /rethink evidence — persistent recommendations that go unacted-on may reveal misalignment between what the system detects and what the user values

---

Edge Cases

Empty Vault (0-5 notes)

Recommend capturing or reducing content. Maintenance is premature with < 5 notes — the graph does not have enough nodes for meaningful analysis.

next

  State:
    Notes: [N] — early stage vault

  Recommended: Capture or /extract content
  Rationale: Your graph has [N] notes. At this stage, adding
  content matters more than maintaining structure. Health checks,
  reweaving, and rethink become valuable after ~10 notes.

Everything Clean

Say so explicitly. Recommend exploratory work aligned with goals, or reflective work on older notes:

  No urgent work detected. Consider:
  - Exploring a research direction from goals.md
  - Reweaving older docs/notes to deepen connections
  - Reviewing and updating goals.md itself

No Goals File

Recommend creating arscontexta/self/goals.md or arscontexta/ops/goals.md first. Without priorities, recommendations lack grounding and the system cannot distinguish between "important to the user" and "detected by automation."

  Recommended: Create arscontexta/ops/goals.md
  Rationale: Without goals, /next can only recommend based on
  automated detection. Goals let the system align recommendations
  with what actually matters to you.

No arscontexta/ops/derivation-manifest.md

Use universal vocabulary. Do not fail — /next should always produce a recommendation regardless of configuration state.

Queue Not Active

Skip queue checks silently. Not all vaults use the pipeline architecture — some rely on manual processing. Do not report "queue not found" as an issue.

Multiple Session-Priority Signals

When several signals are at session priority simultaneously, pick the one that unblocks the most downstream work:

• Dangling links block graph traversal → fix first
• Observation threshold → rethink prevents methodology drift
• Inbox pressure → processing prevents idea loss

If genuinely equal priority, pick the one the user has not been recommended recently (check next-log.md).

Stale /next Log

If arscontexta/ops/next-log.md has not been updated in 14+ days, the user may not be running /next regularly. Note this but do not make it a recommendation — /next is optional, not mandatory.

---

Anti-Patterns

These are patterns that /next must avoid:

Anti-Pattern	Why It Is Wrong	What to Do Instead
Recommending everything	Overwhelms the user, defeats the purpose of "single most valuable action"	Pick ONE. Mention a second only as "after that"
Vague recommendations	"Process inbox" gives no actionable starting point	Name the specific file, note, or command
Ignoring task stack	User-set priorities exist for a reason	Always check arscontexta/ops/tasks.md first
Repeating the same rec	If the user did not act on it, recommending it again is nagging	Deduplicate via next-log.md
Recommending maintenance too early	A 5-note vault does not need health checks	Scale recommendations to vault maturity
Cognitive outsourcing	Making all decisions for the user	Recommend and explain — never execute