* feat(#3028): responsive Markdown separators instead of fixed-width rules Stage banners, checkpoints, completion and error panels used fixed-width runs of box-drawing characters -- a 53-column heavy rule and a 62-column double-line box. Those runs are ordinary text to a Markdown-rendering host, so in a narrower pane they wrap and the border comes apart from the heading it framed. Shipped content now emits an ATX heading for a titled section and a blank-line-delimited --- for a break between sections, both of which adapt to the available width. The same convention is applied to the three code sites that built these strings at runtime: the UAT checkpoint renderer, the milestone-close audit report, and the TDD review checkpoint table. Removing the box also removes its only reason to exist -- the east-asian-width padding helpers that kept its right border aligned (checkpointBoxLine, displayWidth, isWideCodePoint, ZERO_WIDTH_MARK_RE, CHECKPOINT_BOX_WIDTH). RTL directional isolation is unchanged. The convention is specified in gsd-core/references/ui-brand.md and enforced across all shipped content by tests/responsive-separators.test.cjs. Refs #3028 * test(#3028): pin the heading form in checkpoint and audit-report assertions These suites asserted the exact box borders and the 62-column padded banner interior. With the box gone they assert the ### heading form, the --- break and the bolded instruction line, and each now carries a positive assertion that no box character remains -- which is what pins the fix rather than merely tolerating it. Language coverage is converted, not dropped: Japanese, Chinese, Korean, Hindi and Arabic all still assert their rendered banner, and the Arabic case still asserts the RTL directional isolates the box removal must not disturb. Adds a case for a banner longer than the old inner width, which previously produced a ragged border and now has none. Refs #3028 * chore(#3028): acknowledge execute-plan.md growth from the checkpoint display spec The checkpoint_protocol display spec described the drawn box; it now describes the heading, the --- break and the bolded action prompt, which costs 22 bytes (40111 -> 40133, 827 under the cap). Appended to the existing #3370 fragment rather than filed as a new one: a growth ack keys on the bare filename and #3370 already declares execute-plan.md, so a second source naming it would be a hard duplicate-key error. Same supersede-by-append route #3370 took for the spent #2652 fragment. Refs #3028 * docs(#3028): state the load-bearing half of the separator rule, and amend the zh-CN reference Review found three things. The rule as first written demanded a blank line above AND below every ---. Only the one above is load-bearing: it is what stops CommonMark reading the rule as a setext underline for the line above. The one below is cosmetic, because a thematic break is a leaf block. The rule now says that, with the reason, instead of asserting a stricter form the content does not keep. The zh-CN reference had received the mechanical box-to-heading swap but none of the prose behind it: it still claimed a 62-character checkpoint width and still listed --- among forbidden mixed banner styles, so it contradicted the convention it was translating. It now carries the separator section, the setext reasoning, the unconditional-vs-per-runtime rationale and a corrected anti-pattern list, in Chinese. The user guide asserted that a heading is not a degradation anywhere. That is an assertion, not a demonstration. It now says what was actually traded away in a plain terminal, points at the recorded rationale, and invites the report that would justify the capability flag instead. Refs #3028 * chore(#3028): backfill changeset PR number Refs #3028 --------- Co-authored-by: sim <sim@local>
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This workflow wires Phase 1 (session pipeline) and Phase 2 (profiling engine) into a cohesive user-facing experience. All heavy lifting is done by existing gsd-tools.cjs query handlers (with legacy gsd-tools.cjs parity where needed) and the gsd-user-profiler agent -- this workflow orchestrates the sequence, handles branching, and provides the UX.
<required_reading> Read all files referenced by the invoking prompt's execution_context before starting.
Key references:
- @$HOME/.claude/gsd-core/references/ui-brand.md (display patterns)
- @$HOME/.claude/agents/gsd-user-profiler.md (profiler agent definition)
- @$HOME/.claude/gsd-core/references/user-profiling.md (profiling reference doc) </required_reading>
If response_language is set: All user-facing questions, prompts, and explanations in this workflow MUST be presented in {response_language}. Technical terms, code, file paths, and subagent prompts stay in English — only user-facing output is translated.
1. Initialize
Parse flags from $ARGUMENTS:
- Detect
--questionnaireflag (skip session analysis, questionnaire-only) - Detect
--refreshflag (rebuild profile even when one exists)
Check for existing profile:
PROFILE_PATH="$HOME/.claude/gsd-core/USER-PROFILE.md"
[ -f "$PROFILE_PATH" ] && echo "EXISTS" || echo "NOT_FOUND"
If profile exists AND --refresh NOT set AND --questionnaire NOT set:
Text mode (workflow.text_mode: true in config or --text flag): Set TEXT_MODE=true if --text is present in $ARGUMENTS OR text_mode from init JSON is true. When TEXT_MODE is active, replace every AskUserQuestion call with a plain-text numbered list and ask the user to type their choice number. This is required for non-Claude runtimes (OpenAI Codex, Gemini CLI, etc.) where AskUserQuestion is not available.
Use AskUserQuestion:
- header: "Existing Profile"
- question: "You already have a profile. What would you like to do?"
- options:
- "View it" -- Display summary card from existing profile data, then exit
- "Refresh it" -- Continue with --refresh behavior
- "Cancel" -- Exit workflow
If "View it": Read USER-PROFILE.md, display its content formatted as a summary card, then exit. If "Refresh it": Set --refresh behavior and continue. If "Cancel": Display "No changes made." and exit.
If profile exists AND --refresh IS set:
Backup existing profile:
cp "$HOME/.claude/gsd-core/USER-PROFILE.md" "$HOME/.claude/USER-PROFILE.backup.md"
Display: "Re-analyzing your sessions to update your profile." Continue to step 2.
If no profile exists: Continue to step 2.
2. Consent Gate (ACTV-06)
Skip if --questionnaire flag is set (no JSONL reading occurs -- jump directly to step 4b).
Display consent screen:
### GSD > PROFILE YOUR CODING STYLE
Claude starts every conversation generic. A profile teaches Claude
how YOU actually work -- not how you think you work.
## What We'll Analyze
Your recent Claude Code sessions, looking for patterns in these
8 behavioral dimensions:
| Dimension | What It Measures |
|----------------------|---------------------------------------------|
| Communication Style | How you phrase requests (terse vs. detailed) |
| Decision Speed | How you choose between options |
| Explanation Depth | How much explanation you want with code |
| Debugging Approach | How you tackle errors and bugs |
| UX Philosophy | How much you care about design vs. function |
| Vendor Philosophy | How you evaluate libraries and tools |
| Frustration Triggers | What makes you correct Claude |
| Learning Style | How you prefer to learn new things |
## Data Handling
✓ Reads session files locally (read-only, nothing modified)
✓ Analyzes message patterns (not content meaning)
✓ Stores profile at $HOME/.claude/gsd-core/USER-PROFILE.md
✗ Nothing is sent to external services
✗ Sensitive content (API keys, passwords) is automatically excluded
If --refresh path: Show abbreviated consent instead:
Re-analyzing your sessions to update your profile.
Your existing profile has been backed up to USER-PROFILE.backup.md.
Use AskUserQuestion:
- header: "Refresh"
- question: "Continue with profile refresh?"
- options:
- "Continue" -- Proceed to step 3
- "Cancel" -- Exit workflow
If default (no --refresh) path:
Use AskUserQuestion:
- header: "Ready?"
- question: "Ready to analyze your sessions?"
- options:
- "Let's go" -- Proceed to step 3 (session analysis)
- "Use questionnaire instead" -- Jump to step 4b (questionnaire path)
- "Not now" -- Display "No worries. Run /gsd:profile-user when ready." and exit
3. Session Scan
Display: "◆ Scanning sessions..."
Run session scan:
SCAN_RESULT=$(gsd_run query scan-sessions --json 2>/dev/null)
Parse the JSON output to get session count and project count.
Display: "✓ Found N sessions across M projects"
Determine data sufficiency:
- Count total messages available from the scan result (sum sessions across projects)
- If 0 sessions found: Display "No sessions found. Switching to questionnaire." and jump to step 4b
- If sessions found: Continue to step 4a
4a. Session Analysis Path
Display: "◆ Sampling messages..."
Run profile sampling:
SAMPLE_RESULT=$(gsd_run query profile-sample --json 2>/dev/null)
Parse the JSON output to get the temp directory path and message count.
Display: "✓ Sampled N messages from M projects"
Display: "◆ Analyzing patterns..."
PROFILER_MODEL=$(gsd_run query resolve-model gsd-user-profiler --raw)
Model omission (#2517). Omit the
modelparameter entirely when the value it would carry (PROFILER_MODEL) is"inherit"or empty. An empty value 404s on runtimes without native tier aliases — the default on non-Claude runtimes. Omitting it inherits the orchestrator's model. See @gsd-core/references/model-profile-resolution.md.
Spawn gsd-user-profiler agent using Task tool:
Use the Task tool to spawn the gsd-user-profiler agent, passing model="{PROFILER_MODEL}" (omit the parameter per the rule above when the value is "inherit" or empty). Provide it with:
- The sampled JSONL file path from profile-sample output
- The user-profiling reference doc at
$HOME/.claude/gsd-core/references/user-profiling.md
The agent prompt should follow this structure:
Read the profiling reference document and the sampled session messages, then analyze the developer's behavioral patterns across all 8 dimensions.
Reference: @$HOME/.claude/gsd-core/references/user-profiling.md
Session data: @{temp_dir}/profile-sample.jsonl
Analyze these messages and return your analysis in the <analysis> JSON format specified in the reference document.
Parse the agent's output:
- Extract the
<analysis>JSON block from the agent's response - Save analysis JSON to a temp file (in the same temp directory created by profile-sample)
ANALYSIS_PATH="{temp_dir}/analysis.json"
Write the analysis JSON to $ANALYSIS_PATH.
Display: "✓ Analysis complete (N dimensions scored)"
Check for thin data:
- Read the analysis JSON and check the total message count
- If < 50 messages were analyzed: Note that a questionnaire supplement could improve accuracy. Display: "Note: Limited session data (N messages). Results may have lower confidence."
Continue to step 5.
4b. Questionnaire Path
Display: "Using questionnaire to build your profile."
Get questions:
QUESTIONS=$(gsd_run query profile-questionnaire --json 2>/dev/null)
Parse the questions JSON. It contains 8 questions, one per dimension.
Present each question to the user via AskUserQuestion:
For each question in the questions array:
- header: The dimension name (e.g., "Communication Style")
- question: The question text
- options: The answer options from the question definition
Collect all answers into an answers JSON object mapping dimension keys to selected answer values.
Save answers to temp file:
# BSD/macOS mktemp only randomizes XXXXXX when it is the final path component, so make a
# suffixless temp then append the extension — portable across BSD + GNU (#1520).
ANSWERS_PATH=$(mktemp "${TMPDIR:-/tmp}/gsd-profile-answers-XXXXXX") && mv "$ANSWERS_PATH" "${ANSWERS_PATH}.json" && ANSWERS_PATH="${ANSWERS_PATH}.json" || exit 1
Write the answers JSON to $ANSWERS_PATH.
Convert answers to analysis:
ANALYSIS_RESULT=$(gsd_run query profile-questionnaire --answers "$ANSWERS_PATH" --json 2>/dev/null)
Parse the analysis JSON from the result.
Save analysis JSON to a temp file:
# BSD/macOS mktemp only randomizes XXXXXX when it is the final path component, so make a
# suffixless temp then append the extension — portable across BSD + GNU (#1520).
ANALYSIS_PATH=$(mktemp "${TMPDIR:-/tmp}/gsd-profile-analysis-XXXXXX") && mv "$ANALYSIS_PATH" "${ANALYSIS_PATH}.json" && ANALYSIS_PATH="${ANALYSIS_PATH}.json" || exit 1
Write the analysis JSON to $ANALYSIS_PATH.
Continue to step 5 (skip split resolution since questionnaire handles ambiguity internally).
5. Split Resolution
Skip if questionnaire-only path (splits already handled internally).
Read the analysis JSON from $ANALYSIS_PATH.
Check each dimension for cross_project_consistent: false.
For each split detected:
Use AskUserQuestion:
- header: The dimension name (e.g., "Communication Style")
- question: "Your sessions show different patterns:" followed by the split context (e.g., "CLI/backend projects -> terse-direct, Frontend/UI projects -> detailed-structured")
- options:
- Rating option A (e.g., "terse-direct")
- Rating option B (e.g., "detailed-structured")
- "Context-dependent (keep both)"
If user picks a specific rating: Update the dimension's rating field in the analysis JSON to the selected value.
If user picks "Context-dependent": Keep the dominant rating in the rating field. Add a context_note to the dimension's summary describing the split (e.g., "Context-dependent: terse in CLI projects, detailed in frontend projects").
Write updated analysis JSON back to $ANALYSIS_PATH.
6. Profile Write
Display: "◆ Writing profile..."
gsd_run query write-profile --input "$ANALYSIS_PATH" --json
Display: "✓ Profile written to $HOME/.claude/gsd-core/USER-PROFILE.md"
7. Result Display
Read the analysis JSON from $ANALYSIS_PATH to build the display.
Show report card table:
## Your Profile
| Dimension | Rating | Confidence |
|----------------------|----------------------|------------|
| Communication Style | detailed-structured | HIGH |
| Decision Speed | deliberate-informed | MEDIUM |
| Explanation Depth | concise | HIGH |
| Debugging Approach | hypothesis-driven | MEDIUM |
| UX Philosophy | pragmatic | LOW |
| Vendor Philosophy | thorough-evaluator | HIGH |
| Frustration Triggers | scope-creep | MEDIUM |
| Learning Style | self-directed | HIGH |
(Populate with actual values from the analysis JSON.)
Show highlight reel:
Pick 3-4 dimensions with the highest confidence and most evidence signals. Format as:
## Highlights
- **Communication (HIGH):** You consistently provide structured context with
headers and problem statements before making requests
- **Vendor Choices (HIGH):** You research alternatives thoroughly -- comparing
docs, GitHub activity, and bundle sizes before committing
- **Frustrations (MEDIUM):** You correct Claude most often for doing things
you didn't ask for -- scope creep is your primary trigger
Build highlights from the evidence array and summary fields in the analysis JSON. Use the most compelling evidence quotes. Format each as "You tend to..." or "You consistently..." with evidence attribution.
Offer full profile view:
Use AskUserQuestion:
- header: "Profile"
- question: "Want to see the full profile?"
- options:
- "Yes" -- Read and display the full USER-PROFILE.md content, then continue to step 8
- "Continue to artifacts" -- Proceed directly to step 8
8. Artifact Selection (ACTV-05)
Use AskUserQuestion with multiSelect:
- header: "Artifacts"
- question: "Which artifacts should I generate?"
- options (ALL pre-selected by default):
- "/gsd-dev-preferences command file" -- "Load your preferences in any session"
- "CLAUDE.md profile section" -- "Add profile to this project's CLAUDE.md"
- "Global CLAUDE.md" -- "Add profile to $HOME/.claude/CLAUDE.md for all projects"
If no artifacts selected: Display "No artifacts generated. Your profile is saved at $HOME/.claude/gsd-core/USER-PROFILE.md" and jump to step 10.
9. Artifact Generation
Generate selected artifacts sequentially (file I/O is fast, no benefit from parallel agents):
For /gsd-dev-preferences (if selected):
gsd_run query generate-dev-preferences --analysis "$ANALYSIS_PATH" --json
Display: "✓ Generated /gsd-dev-preferences at $HOME/.claude/skills/gsd-dev-preferences/SKILL.md"
For CLAUDE.md profile section (if selected):
gsd_run query generate-claude-profile --analysis "$ANALYSIS_PATH" --json
Display: "✓ Added profile section to CLAUDE.md"
For Global CLAUDE.md (if selected):
gsd_run query generate-claude-profile --analysis "$ANALYSIS_PATH" --global --json
Display: "✓ Added profile section to $HOME/.claude/CLAUDE.md"
Error handling: If any gsd-tools.cjs query or gsd-tools.cjs call fails, display the error message and use AskUserQuestion to offer "Retry" or "Skip this artifact". On retry, re-run the command. On skip, continue to next artifact.
10. Summary & Refresh Diff
If --refresh path:
Read both old backup and new analysis to compare dimension ratings/confidence.
Read the backed-up profile:
BACKUP_PATH="$HOME/.claude/USER-PROFILE.backup.md"
Compare each dimension's rating and confidence between old and new. Display diff table showing only changed dimensions:
## Changes
| Dimension | Before | After |
|-----------------|-----------------------------|-----------------------------|
| Communication | terse-direct (LOW) | detailed-structured (HIGH) |
| Debugging | fix-first (MEDIUM) | hypothesis-driven (MEDIUM) |
If nothing changed: Display "No changes detected -- your profile is already up to date."
Display final summary:
### GSD > PROFILE COMPLETE ✓
Your profile: $HOME/.claude/gsd-core/USER-PROFILE.md
Then list paths for each generated artifact:
Artifacts:
✓ /gsd-dev-preferences $HOME/.claude/skills/gsd-dev-preferences/SKILL.md
✓ CLAUDE.md section <resolved claude_md_path, default ./.claude/CLAUDE.md>
✓ Global CLAUDE.md $HOME/.claude/CLAUDE.md
(Show the claude_md_path actually returned by the command — it defaults to ./.claude/CLAUDE.md but may be overridden by config or --output.)
(Only show artifacts that were actually generated.)
Clean up temp files:
Remove the temp directory created by profile-sample (contains sample JSONL and analysis JSON):
rm -rf "$TEMP_DIR"
Also remove any standalone temp files created for questionnaire answers:
rm -f "$ANSWERS_PATH" 2>/dev/null
rm -f "$ANALYSIS_PATH" 2>/dev/null
(Only clean up temp paths that were actually created during this workflow run.)
<success_criteria>
- Initialization detects existing profile and handles all three responses (view/refresh/cancel)
- Consent gate shown for session analysis path, skipped for questionnaire path
- Session scan discovers sessions and reports statistics
- Session analysis path: samples messages, spawns profiler agent, extracts analysis JSON
- Questionnaire path: presents 8 questions, collects answers, converts to analysis JSON
- Split resolution presents context-dependent splits with user resolution options
- Profile written to USER-PROFILE.md via write-profile subcommand
- Result display shows report card table and highlight reel with evidence
- Artifact selection uses multiSelect with all options pre-selected
- Artifacts generated sequentially via gsd-tools.cjs query (or gsd-tools.cjs) subcommands
- Refresh diff shows changed dimensions when --refresh was used
- Temp files cleaned up on completion </success_criteria>