Catalog
obra/diagnosing-superpowers

obra

diagnosing-superpowers

Use when a superpowers session went wrong and your human partner wants to know why — repeated work, ignored plans, stumbles, poor results, a skill that didn't fire, "it took too long", "why is it so expensive", "what is it doing" — or wants to build a bug report for the superpowers maintainers, for the current session or a past one identified by id or path, on any harness.

v1.0LATEST
NewUpdated Sep 19, 2026

Diagnosing Superpowers

Overview

Pin down with your human partner what went wrong in a session, read the transcripts on disk, and report what happened with evidence. You report; you do not diagnose superpowers. Whoever triages the bundle or the issue decides whether superpowers changes.

Core principle: Every finding cites path:line. No citation, no finding. Every number comes from the transcript or from a command you ran, never from memory.

Workflow

Create a todo per step. Steps 5–7 run only on their stated condition.

  1. Problem intake. Ask one question at a time until you can write a statement naming the session(s), the turn range if known, what your partner expected, what happened, and the observable they care about (wall-clock, tokens, repeated actions, one specific action). "It took too long" is a complaint, not a problem statement. Note whether the goal is a superpowers bug report.
  2. Locate. Resolve each session to verified absolute filesystem paths using references/session-discovery.md. Confirm a past session by quoting its first prompt and timestamp, and list every candidate you rejected with the reason, or "none". Enumerate subagent transcripts. Create ~/.superpowers/diagnosing-superpowers/<session-id>/, tell your partner the path, and fill templates/case.md there, following its provenance rules for environment and skill observations.
  3. Triage. Read the region around the reported problem yourself. Then dispatch one analyst subagent per dimension in parallel, each given the case file path, prompts/analyst-common.md, and one dimension file from prompts/: skill-timeline.md, plan-adherence.md, repeated-work.md, stumbles.md, quality-evidence.md, request-conflicts.md, cost-and-time.md. Split a dimension by turn range when the transcript is long. Discard any returned finding without path:line.
  4. Report. Fill every section of templates/report.md in order, write it to the workspace, show it, and give the path. Check what cited content actually proves and preserve the supporting case; a symlink alias is not a redundant copy.
  5. GitHub issues — when report §7 says possible or likely, or your partner asks. Search open and closed issues for the symptoms per references/github-issues.md. Show matches and suggest adding the report to the closest. If none match, fill templates/issue.md, write it to the workspace, show the exact text, and create the issue only after approval. gh cannot attach files; if a bundle exists, give your partner its path to attach in the browser.
  6. Export — only when your partner asks for a bundle; never build one unprompted. If the intake goal was a bug report, say once that a scrubbed bundle is available on request, then wait. Ask the redaction level, stating what each includes: skeleton (no tool-result bodies), evidence (bodies only for cited events), full. Build the bundle per templates/bundle-README.md, dispatch prompts/scrub.md, then prompts/scrub-audit.md, repeating both until the audit returns CLEAN. Complete the bundle template's evidence check and reconciliation before showing the final scrub log, file list, and privacy and evidence outcomes. Archive (zip -r or tar -czf) only after approval. With the archive path, state what it contains, point at the scrub log for replacements, and say scrubbing can miss things: they must review every file before sharing.
  7. Similar sessions — when asked. Turn confirmed findings into a signature, list candidates by mtime and size, find marker line numbers, dispatch prompts/similar-session.md per candidate in parallel, and append report §9.

Quick reference

All seven analysts always run. This table says which region to read yourself in step 3 and which findings to lead with in the verdict.

Complaint Read first, lead with
"It took too long" cost-and-time, stumbles
"Why did it do this extra work?" repeated-work, plan-adherence
"Why is it so expensive?" cost-and-time
"What the hell is it doing?" (still running) skill-timeline; note in-progress in coverage
"It ignored the plan" plan-adherence, compaction lines first
"Skill X never fired" skill-timeline

Hard rules

  • Context safety. One transcript line can be a megabyte. Follow references/context-safety.md on every session file, every time.
  • Read-only. Never modify, move, or delete a session file.
  • Exact paths to subagents. A subagent's "current session" is its own. Pass absolute paths and ids.
  • Human prompts only. Hook output, system reminders, and tool results are not your partner's words. In a subagent transcript, "user" is the parent agent.
  • No superpowers diagnosis. Report §7 states involvement and stops. Never name a defect in a skill or propose a change. Your partner pressing for a fix does not waive this; point at the issue step and mention that a bundle is available on request. No advice to your partner either.
  • Approval gates. No archive before your partner has seen the scrub log and file list. No issue or comment before they approve the exact text.
  • Intake before analysis. Nothing in steps 2–7 starts until your partner has answered. If they are away, write the questions and stop. A statement you reconstructed for them is not an answer. An already-scoped request — one specific event, what is running now, or the analysis to run — is itself the statement: answer it, then ask. A whole-session "why" is a complaint.

Red Flags

Thought Reality
"The problem is obvious, skip intake" The problem statement scopes everything. Ask.
"They're away, so I'll reconstruct the statement" You cannot reconstruct what they wanted. Write the questions and stop.
"I'll sweep everything now and ask at the end" An unscoped sweep spends their budget on the wrong question. Ask first.
"They want a bug report, so I'll build the bundle now" The bundle is their session data, packaged. Build it only when they ask for it.
"Small, targeted edit, no restructuring needed" Not your call, however small. Report the evidence; the triager decides.
"The price per token is well known" Numbers you did not compute from the transcript are invented. Cite or drop.
Files20
20 files · 34.2 KB

Select a file to preview

Overall Score

89/100

Grade

A

Excellent

Grades are signals, not a certification. Always review a skill yourself before use.

Safety

88

Quality

92

Clarity

89

Completeness

84

Summary

This skill guides an AI agent to diagnose failed superpowers sessions by interviewing users, locating transcripts, reading evidence with strict context-safety rules, dispatching parallel analyst subagents per dimension, and producing a rigorous report with `path:line` citations. The skill is read-only, enforces no-modification rules, and provides templates and prompts for subagents that must not modify files, diagnose superpowers itself, or propose changes.

Detected Capabilities

file read (session transcripts, case files, templates, references)file write (case.md, report.md, issue.md, bundle directories)subagent dispatch (seven parallel analyst subagents per dimension)GitHub API access (issue search and creation)shell execution (wc, awk, sed, jq, grep, git, gh, find, zip/tar)environment variable read (inferred for harness/superpowers discovery)

Trigger Keywords

Phrases that agents use to match this skill to user intent.

diagnose failed sessiondebug superpowers issueinvestigate slow runrepeated work analysisskill trigger investigationexpensive token usagebuild bug report

Risk Signals

INFO

Writes files under ~/.superpowers/diagnosing-superpowers/ and to workspace

Steps 2, 4, 5, 6 (report.md, case.md, issue.md, bundle/)
WARNING

Reads user session transcripts on disk, which may contain sensitive data (code, API keys, credentials)

Step 2–3 ("Locate", "Triage"), references/context-safety.md
INFO

Dispatches subagents with absolute paths to case files and transcript data

Step 3 ("Triage"), prompts/analyst-common.md
WARNING

Builds GitHub issues via gh CLI and may post diagnostic findings to public repo

Step 5 ("GitHub issues"), references/github-issues.md
INFO

Implements scrubbing logic to redact secrets, emails, proprietary terms, and home paths before export

Step 6 ("Export"), prompts/scrub.md, references/redaction-policy.md
INFO

Creates archives (zip -r, tar -czf) of diagnostic bundles after scrubbing and approval

Step 6 ("Export"), templates/bundle-README.md
INFO

Reads instruction files (.md) from superpowers install root and session directories

prompts/skill-timeline.md (step 2)

Referenced Domains

External domains referenced in skill content, detected by static analysis.

api.github.comgithub.com

Use Cases

  • Debug a session that took too long or was expensive
  • Understand why a session repeated work or ignored a plan
  • Investigate why a specific skill didn't fire or ran late
  • Build a superpowers bug report with transcript evidence
  • Search for similar sessions that exhibit the same failure pattern
  • Export a scrubbed diagnosis bundle for sharing outside the machine

Quality Notes

  • Exceptional: Skill defines a rigorous, multi-step workflow with clear gates and approval points before destructive or shareable actions (e.g., no archive before approval, no issue before approval)
  • Exceptional: Enforces strict rules against modifying session files, which are read-only evidence
  • Exceptional: Every finding must cite path:line or be discarded—this is a core principle repeated throughout
  • Exceptional: Context-safety rules prevent context overflow by measuring files and using bounded extraction before reading
  • Exceptional: Subagent prompts define precise input/output formats and enforce the same citation discipline
  • Excellent: Templates (case.md, report.md, issue.md, bundle-README.md) are complete and well-structured
  • Excellent: Red Flags table documents common mistakes (e.g., 'reconstruct statement' is wrong)
  • Excellent: Handoff to GitHub uses gh CLI where available, falls back to curl + browser; does not embed API keys
  • Good: Scrubbing workflow repeats audit until clean, and separates privacy audit from evidence support check
  • Good: Redaction policy explicitly excludes safe values (session ids, skill names, model ids, line numbers) needed for bundle utility
  • Minor: The prompt files (analyst-*.md) could explicitly note that subagent context is limited and they should not infer missing information
  • Minor: No explicit guidance on how to handle a session with no coherent plan (step 2 of plan-adherence.md addresses this, but briefly)
Model: claude-haiku-4-5-20251001Analyzed: Sep 19, 2026

Reviews

Add this skill to your library to leave a review.

No reviews yet

Be the first to share your experience.

Use obra/diagnosing-superpowers in your dev environment

Command Palette

Search for a command to run...