skill-fix-it

---

name: skill-fix-it description: Scan codebase for FIX:/NOTE:/TODO:/QUESTION: tags and create structured tasks with interactive selection. Invoke for /fix-it command. allowed-tools: Bash, Grep, Read, Write, Edit, AskUserQuestion

Fix-It Skill (Direct Execution)

Direct execution skill for scanning files, presenting findings interactively, and creating user-selected tasks. Replaces the previous delegation-based approach with synchronous execution and AskUserQuestion prompts.

Key behavior: Users always see tag scan results BEFORE any tasks are created. Users select which task types to create via interactive prompts.

Context References

Reference (do not load eagerly):

• Path: @specs/TODO.md - Current task list
• Path: @specs/state.json - Machine state

---

Execution

Step 1: Parse Arguments

Extract paths from command input:

# Parse from command input
paths="$ARGUMENTS"

# Default to project root if no paths specified
if [ -z "$paths" ]; then
  paths="."
fi

Note: The --dry-run flag is no longer supported. The interactive flow is inherently "preview first" - users always see findings before any tasks are created.

Step 2: Generate Session ID

Generate session ID for tracking:

session_id="sess_$(date +%s)_$(od -An -N3 -tx1 /dev/urandom | tr -d ' ')"

Step 3: Execute Tag Extraction

Scan for all four tag types (FIX:, NOTE:, TODO:, QUESTION:) using file-type-specific comment patterns:

File Type	Comment Prefix	Includes
Lua	--	*.lua
LaTeX	%	*.tex
Markdown	<!--	*.md
Script	#	*.py, *.sh, *.yaml, *.yml

For each tag type, grep across all file types with -rn and collect matches. Parse each match into: file path, line number, tag type, tag content.

Categorize into arrays: fix_tags[], note_tags[], todo_tags[], question_tags[].

Step 4: Display Tag Summary

Present findings to user BEFORE any selection:

## Tag Scan Results

**Files Scanned**: {paths}
**Tags Found**: {total_count}

### FIX: Tags ({count})
- `{file}:{line}` - {content}
- ...

### NOTE: Tags ({count})
- `{file}:{line}` - {content}
- ...

### TODO: Tags ({count})
- `{file}:{line}` - {content}
- ...

### QUESTION: Tags ({count})
- `{file}:{line}` - {content}
- ...

Step 5: Handle Edge Cases

No Tags Found

If no tags found:

## No Tags Found

Scanned files in: {paths}
No FIX:, NOTE:, TODO:, or QUESTION: tags detected.

Nothing to create.

Exit gracefully without prompts.

Only Certain Tag Types

Only show task type options for tag types that exist:

• FIX: tags exist -> offer "fix-it task"
• NOTE: tags exist -> offer "fix-it task" AND "learn-it task"
• TODO: tags exist -> offer "TODO tasks"
• QUESTION: tags exist -> offer "Research tasks"

Step 6: Task Type Selection

If tags were found, prompt user to select task types:

{
  "question": "Which task types should be created?",
  "header": "Task Types",
  "multiSelect": true,
  "options": [
    {
      "label": "fix-it task",
      "description": "Combine {N} FIX:/NOTE: tags into single task"
    },
    {
      "label": "learn-it task",
      "description": "Update context from {N} NOTE: tags"
    },
    {
      "label": "TODO tasks",
      "description": "Create tasks for {N} TODO: items"
    },
    {
      "label": "Research tasks",
      "description": "Create research tasks for {N} QUESTION: items"
    }
  ]
}

Important: Only include options where the tag type exists:

• Include "fix-it task" only if FIX: or NOTE: tags exist
• Include "learn-it task" only if NOTE: tags exist
• Include "TODO tasks" only if TODO: tags exist
• Include "Research tasks" only if QUESTION: tags exist

If user selects nothing, exit gracefully:

No task types selected. No tasks created.

Step 7: Individual TODO Selection

If "TODO tasks" was selected AND there are TODO: tags:

Standard Case (<=20 TODOs)

{
  "question": "Select TODO items to create as tasks:",
  "header": "TODO Selection",
  "multiSelect": true,
  "options": [
    {
      "label": "{content truncated to 50 chars}",
      "description": "{file}:{line}"
    },
    ...
  ]
}

Large Number of TODOs (>20)

Add a "Select all" option at the top:

{
  "question": "Select TODO items to create as tasks:",
  "header": "TODO Selection (many items)",
  "multiSelect": true,
  "options": [
    {
      "label": "Select all ({N} items)",
      "description": "Create a task for every TODO tag"
    },
    {
      "label": "{content truncated to 50 chars}",
      "description": "{file}:{line}"
    },
    ...
  ]
}

If "Select all" is chosen, include all TODOs. Otherwise, only selected items.

Step 7.5: Topic Grouping (Shared Algorithm)

This grouping algorithm applies to both TODO items (Step 7.5) and QUESTION items (Step 7.7). Skip if only 1 item selected.

Topic Indicator Extraction per item:

• Key Terms: Significant words (nouns, verbs), ignoring stop words
• File Section: Group by file path prefix
• Action Type: Inferred from content (Add/Create -> implementation, Fix -> fix, Document -> docs, Test -> testing, Refactor -> improvement). For QUESTION items, action_type is always "research".

Clustering Algorithm:

1. Start with first item as initial group
2. For each remaining item: add to existing group if shares 2+ key terms OR shares file_section + action_type; otherwise start new group
3. Generate topic label from most common shared terms
4. Single-item groups are kept as-is

Store result: topic_groups[] with {label, items[], shared_terms[], action_type}

Step 7.5.4: Topic Group Confirmation

Condition: At least one group has 2+ items (otherwise skip -- no grouping benefit).

Present via AskUserQuestion (multiSelect: false):

• "Accept suggested topic groups" -- Creates {N} grouped tasks
• "Keep as separate tasks" -- Creates {M} individual tasks
• "Create single combined task" -- Creates 1 task with all items

Store: grouping_mode = "grouped" | "separate" | "combined"

Step 7.6: Individual QUESTION Selection

Condition: User selected "Research tasks" in Step 6 AND QUESTION: tags exist.

Same pattern as Step 7 (TODO selection): AskUserQuestion with multiSelect, "Select all" option when >20 items.

Step 7.7: Topic Grouping for QUESTION Items

Condition: Selected more than 1 QUESTION item.

Apply the same algorithm as Step 7.5 with these differences:

• action_type is always "research"
• Store result in question_topic_groups[]
• Confirmation prompt uses "research tasks" wording

Store: question_grouping_mode = "grouped" | "separate" | "combined"

Step 8: Create Selected Tasks

For each selected task type, create the task. Important: When NOTE: tags exist and both fix-it and learn-it tasks are selected, create learn-it FIRST so fix-it can depend on it.

8.1: Get Next Task Number

next_num=$(jq -r '.next_project_number' specs/state.json)

8.2: Dependency-Aware Task Creation Order

Check for NOTE: dependency condition:

has_note_dependency = (NOTE: tags exist) AND (user selected both "fix-it task" AND "learn-it task")

If has_note_dependency is TRUE:

• Create learn-it task FIRST (Step 8.2a)
• Store learn-it task number as learn_it_task_num
• Create fix-it task SECOND with dependency (Step 8.2b)

If has_note_dependency is FALSE:

• Create fix-it task first (if selected)
• Create learn-it task second (if selected)
• No dependency relationship

8.2a: Learn-It Task (when created first for dependency)

Condition: has_note_dependency is TRUE

{
  "title": "Update context files from NOTE: tags",
  "description": "Update {N} context files based on learnings:\n\n{grouped by target context}",
  "task_type": "meta",
  "effort": "1-2 hours"
}

Store the task number: learn_it_task_num = next_num Increment: next_num = next_num + 1

8.2b: Fix-It Task (with dependency when has_note_dependency)

Condition: User selected "fix-it task" AND (FIX: or NOTE: tags exist)

When has_note_dependency is TRUE:

{
  "title": "Fix issues from FIX:/NOTE: tags",
  "description": "Address {N} items from embedded tags:\n\n{list of items with file:line references}\n\n**Important**: When making changes, remove the FIX: and NOTE: tags from the source files. Leave TODO: tags untouched (they create separate tasks).",
  "task_type": "{predominant task_type from source files}",
  "effort": "2-4 hours",
  "dependencies": [learn_it_task_num]
}

When has_note_dependency is FALSE:

{
  "title": "Fix issues from FIX:/NOTE: tags",
  "description": "Address {N} items from embedded tags:\n\n{list of items with file:line references}\n\n**Important**: When making changes, remove the FIX: and NOTE: tags from the source files. Leave TODO: tags untouched (they create separate tasks).",
  "task_type": "{predominant task_type from source files}",
  "effort": "2-4 hours"
}

Language Detection:

if majority of tags from .lean files -> "lean"
elif majority from .tex files -> "latex"
elif majority from .claude/ files -> "meta"
else -> "general"

8.3: Learn-It Task (when created without dependency)

Condition: User selected "learn-it task" AND NOTE: tags exist AND has_note_dependency is FALSE

{
  "title": "Update context files from NOTE: tags",
  "description": "Update {N} context files based on learnings:\n\n{grouped by target context}",
  "task_type": "meta",
  "effort": "1-2 hours"
}

8.4: Todo-Tasks (if selected)

Condition: User selected "TODO tasks" AND user selected specific TODO items

Check grouping_mode (from Step 7.5.4, defaults to "separate" if Step 7.5.4 was skipped):

8.4.1: Grouped Mode (grouping_mode == "grouped")

For each topic group in topic_groups:

{
  "title": "{topic_label}: {item_count} TODO items",
  "description": "Address TODO items related to {topic_label}:\n\n{item_list}\n\n---\n\nShared context: {shared_terms_description}",
  "task_type": "{detected from majority file type in group}",
  "effort": "{scaled_effort}"
}

Where:

• {topic_label} = generated label (e.g., "Database Migrations")
• {item_count} = number of items in group
• {item_list} = formatted list of items:

  - [ ] {content} (`{file}:{line}`)
  - [ ] {content} (`{file}:{line}`)
  

• {shared_terms_description} = brief description of why items are grouped (e.g., "Related to database schema changes")

Effort Scaling Formula:

base_effort = 1 hour
scaled_effort = base_effort + (30 min * (item_count - 1))

Examples:
  1 item  → 1 hour
  2 items → 1.5 hours (1h + 30min)
  3 items → 2 hours (1h + 60min)
  4 items → 2.5 hours (1h + 90min)

8.4.2: Combined Mode (grouping_mode == "combined")

Create single task containing all selected TODO items:

{
  "title": "Address {item_count} TODO items",
  "description": "Combined TODO items from scan:\n\n{all_items_list}\n\n---\n\nFiles: {unique_files_list}",
  "task_type": "{detected from majority file type}",
  "effort": "{scaled_effort}"
}

Where:

• {item_count} = total number of selected TODO items
• {all_items_list} = formatted list of all items with checkboxes
• {unique_files_list} = comma-separated list of unique files involved

Effort Scaling: Same formula as grouped mode.

8.4.3: Separate Mode (grouping_mode == "separate" or default)

For each selected TODO item individually:

{
  "title": "{tag content, truncated to 60 chars}",
  "description": "{full tag content}\n\nSource: {file}:{line}",
  "task_type": "{detected from file type}",
  "effort": "1 hour"
}

Language Detection for Todo-Task (all modes):

.lua -> "general"
.tex  -> "latex"
.md   -> "markdown"
.py/.sh -> "general"
.claude/* -> "meta"

8.5: Research-Tasks (if selected)

Condition: User selected "Research tasks" AND user selected specific QUESTION items.

Uses question_grouping_mode from Step 7.7 (defaults to "separate"). Same grouped/combined/separate modes as TODO tasks (Step 8.4), with these differences:

• Language detection is content-based (not file-based): Match question text against keyword lists:
  • latex: theorem, proof, lemma, axiom, logic, formula, derivation, proposition, corollary, latex, tex
  • meta: .claude, command, agent, skill, workflow, state.json, TODO.md, specs/
  • Default: "general"
• Effort base: 1.5 hours (vs 1 hour for TODO tasks), same +30min scaling per additional item
• Title prefix: "Research: {content}" for separate mode
• Description format: Uses blockquote syntax (> {question text}) instead of checkboxes

Step 9: Update State Files

For each task created:

9.1: Update state.json

Read current state, add new task entry, increment next_project_number:

# Create slug from title
slug=$(echo "$title" | tr '[:upper:]' '[:lower:]' | tr ' ' '_' | tr -cd 'a-z0-9_' | cut -c1-50)

# Read current state
current=$(cat specs/state.json)

# Add task using jq (use two-step pattern to avoid escaping issues)
# Step 1: Write task data to temp file
# Step 2: Use jq with slurpfile

Topic Auto-Inference and Confirm (Mode C Suggest-Wrap): Before writing each task entry, infer topic from file path and description, then ask user to confirm:

# Infer topic from source file paths for this task
inferred_topic=""
for tag_path in "${task_file_paths[@]}"; do
  if [[ "$tag_path" == .claude/* || "$tag_path" == specs/* ]]; then
    inferred_topic="agent-system"; break
  elif [[ "$tag_path" == lua/* || "$tag_path" == after/* ]]; then
    inferred_topic="neovim"; break
  elif [[ "$tag_path" == home/* || "$tag_path" == modules/* ]]; then
    inferred_topic="nix-config"; break
  fi
done

If inferred_topic is non-empty, show Mode C confirm via AskUserQuestion:

{
  "question": "Topic for this task?",
  "header": "Topic Confirm",
  "multiSelect": false,
  "options": [
    {"label": "Accept: {inferred_topic}", "description": "Use auto-inferred topic"},
    {"label": "Override...", "description": "Enter a different topic name"},
    {"label": "Skip (no topic)", "description": "Create task without a topic"}
  ]
}

• If user selects "Accept: {inferred_topic}" → topic="$inferred_topic"
• If user selects "Override..." → show free-text follow-up: {"question": "Enter topic name (lowercase, kebab-case):"} and capture result as topic
• If user selects "Skip (no topic)" → topic=""

If inferred_topic is empty, skip confirm entirely and set topic="".

For fix-it task when has_note_dependency is TRUE, include dependencies array:

{
  "project_number": {N},
  "project_name": "{slug}",
  "status": "not_started",
  "task_type": "{task_type}",
  "title": "{title}",
  "description": "{description}",
  "topic": "{auto-inferred topic}",
  "dependencies": [learn_it_task_num]
}

Note: Pass --arg title "$title" and --arg desc "$description" to the jq call.

For all other tasks:

{
  "project_number": {N},
  "project_name": "{slug}",
  "status": "not_started",
  "task_type": "{task_type}",
  "title": "{title}",
  "description": "{description}",
  "topic": "{auto-inferred topic}"
}

Note: Pass --arg title "$title" and --arg desc "$description" to the jq call.

Note: Omit "topic" field if topic cannot be inferred (empty string from heuristic).

9.2: (Removed — state.json is authoritative for task entries)

The state.json update in Step 9.1 already writes the task data. TODO.md will be regenerated via generate-todo.sh in Step 9.4 after all state.json writes complete.

Step 9.3: Assign Topics via manage-topics.sh (Non-Blocking)

After each task has been written to state.json, assign the confirmed topic via manage-topics.sh set. The set subcommand also calls add internally, so no standalone add call is needed:

# For each task created, call set AFTER the task entry exists in state.json
# topic is the value from Mode C confirm in Step 9.1 (may be "" if user skipped)
if [[ -n "$topic" ]]; then
  bash .claude/scripts/manage-topics.sh set "$task_num" "$topic" \
    2>/dev/null || echo "Warning: manage-topics.sh set failed for task $task_num (non-fatal)" >&2
fi

The manage-topics.sh set call updates both the task entry's topic field and the active_topics array atomically. Topics that are empty/null are skipped via the [[ -n "$topic" ]] guard.

Step 9.4: Regenerate TODO.md (Non-Blocking)

After all tasks have been written to state.json, regenerate the entire TODO.md from state.json:

bash .claude/scripts/generate-todo.sh \
  2>/dev/null || echo "Note: Failed to regenerate TODO.md (non-fatal)" >&2

Step 10: Display Results

Show summary of created tasks:

## Tasks Created from Tags

**Tags Processed**: {N} across scanned files

### Created Tasks

| # | Type | Title | Language | Topic |
|---|------|-------|----------|-------|
| {N} | fix-it | Fix issues from FIX:/NOTE: tags | {lang} | {topic} |
| {N+1} | learn-it | Update context files from NOTE: tags | meta | agent-system |
| {N+2} | todo | {title} | {lang} | {topic} |
| {N+3} | research | Research: {question title} | {lang} | {topic} |

---

**Next Steps**:
1. Review tasks in TODO.md
2. Run `/research {first_task}` to begin
3. Progress through /research -> /plan -> /implement cycle

Step 11: Git Commit (Postflight)

If tasks were created, commit changes:

task_count={number of tasks created}
git add specs/TODO.md specs/state.json
git commit -m "fix-it: create $task_count tasks from tags

Session: $session_id

---

Error Handling

See rules/error-handling.md for general patterns. Skill-specific behaviors:

• Path access errors: Log warning per invalid path, continue with valid ones; exit if none remain
• No tags found: Not an error -- report informatively and exit without prompts
• state.json/TODO.md failures: Try two-step jq pattern; report partial success if still failing
• Git commit failure: Non-blocking (tasks still created)

Standards Reference

Implements the multi-task creation pattern (full compliance). See .claude/docs/reference/standards/multi-task-creation-standard.md.