Diagnosing Superpowers Sessions
obra/superpowers
Investigates a session where Superpowers went wrong, reads the transcripts on disk and produces an evidence-cited report, optionally prepared as a bug report for the maintainers.
Reports a defect in the optimization skillpack itself (the skills under .agents/skills/, the documents under agent-docs/, the role contracts under agents/, and the repository AGENTS.md files) as a…
$ npx skills add ai-dynamo/dynamo --skill report-skillpack-issue -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ai-dynamo/dynamo report-skillpack-issue --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/ai-dynamo/dynamo.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/report-skillpack-issue .claude/skills/report-skillpack-issue && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "report-skillpack-issue" agent skill from https://github.com/ai-dynamo/dynamo/tree/main/.agents/skills/report-skillpack-issue into .claude/skills/report-skillpack-issue/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "report-skillpack-issue", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/ai-dynamo/dynamo/tree/main/.agents/skills/report-skillpack-issueType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add ai-dynamo/dynamo --skill report-skillpack-issue -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ai-dynamo/dynamo report-skillpack-issue --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ai-dynamo/dynamo.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/report-skillpack-issue .agents/skills/report-skillpack-issue && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "report-skillpack-issue" agent skill from https://github.com/ai-dynamo/dynamo/tree/main/.agents/skills/report-skillpack-issue into .agents/skills/report-skillpack-issue/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "report-skillpack-issue", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ai-dynamo/dynamo --skill report-skillpack-issue -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ai-dynamo/dynamo report-skillpack-issue --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ai-dynamo/dynamo.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/report-skillpack-issue .cursor/skills/report-skillpack-issue && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "report-skillpack-issue" agent skill from https://github.com/ai-dynamo/dynamo/tree/main/.agents/skills/report-skillpack-issue into .cursor/skills/report-skillpack-issue/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "report-skillpack-issue", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/ai-dynamo/dynamo.git --path .agents/skills/report-skillpack-issue--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ai-dynamo/dynamo --skill report-skillpack-issue -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ai-dynamo/dynamo report-skillpack-issue --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ai-dynamo/dynamo.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/report-skillpack-issue .gemini/skills/report-skillpack-issue && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "report-skillpack-issue" agent skill from https://github.com/ai-dynamo/dynamo/tree/main/.agents/skills/report-skillpack-issue into .gemini/skills/report-skillpack-issue/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "report-skillpack-issue", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install ai-dynamo/dynamo report-skillpack-issueInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add ai-dynamo/dynamo --skill report-skillpack-issue -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ai-dynamo/dynamo.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/report-skillpack-issue .github/skills/report-skillpack-issue && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "report-skillpack-issue" agent skill from https://github.com/ai-dynamo/dynamo/tree/main/.agents/skills/report-skillpack-issue into .github/skills/report-skillpack-issue/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "report-skillpack-issue", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ai-dynamo/dynamo --skill report-skillpack-issue -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ai-dynamo/dynamo report-skillpack-issue --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ai-dynamo/dynamo.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/report-skillpack-issue .opencode/skills/report-skillpack-issue && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "report-skillpack-issue" agent skill from https://github.com/ai-dynamo/dynamo/tree/main/.agents/skills/report-skillpack-issue into .opencode/skills/report-skillpack-issue/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "report-skillpack-issue", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
report-skillpack-issueReports a defect in the optimization skillpack itself (the skills under .agents/skills/, the documents under agent-docs/, the role contracts under agents/, and the repository AGENTS.md files) as a…
Report Skillpack Issue is an agent skill from ai-dynamo/dynamo. Reports a defect in the optimization skillpack itself (the skills under .agents/skills/, the documents under agent-docs/, the role contracts under agents/, and the repository AGENTS.md files) as a GitHub issue on ai-dynamo/dynamo, using the repository's agent-reported issue conventions. Use when a pack rule contradicts another pack rule, a cross-reference points at a file or section that does not exist, an instruction cannot be executed as written, a factual claim about a tool or flag is wrong, or a rule…
Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Agent Workflows. It works with GitHub. The repository describes itself as: A Datacenter Scale Distributed Inference Serving Framework. The licence is Apache-2.0.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 1668037. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
ghgitFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use gh and git, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Report Skillpack Issue loads about 2.5k tokens when it runs. Until then it costs about 169 tokens; SKILL.md has 1,130 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from ai-dynamo/dynamo at commit 1668037, republished under its Apache-2.0 licence (© ai-dynamo). 1,130 words, ~2,468 tokens.
.claude/skills/report-skillpack-issue/SKILL.md (or your agent's skills folder).<!--
SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
SPDX-License-Identifier: Apache-2.0
-->
Issues filed against the skillpack are the maintainers' primary field telemetry. A defect you hit and route around silently gets hit by every other user's agent too. Filing takes two minutes; the report is more valuable than the workaround.
This skill follows the repository's agent-reported issue conventions
(.github/ISSUE_TEMPLATE/agent-reported.yml): the [AGENT]: title prefix, the agent-reported label, a
declared agent identity, and at most one issue per session.
Re-read the suspect rule or skill file in full before reporting. Classify the defect:
contradiction — two pack statements cannot both be followed.dead-reference — a cross-reference targets a file, section, or field that does not exist.unexecutable — an instruction cannot be carried out as written (missing input, impossible ordering, undefined
term with no declared source).factual-error — a claim about a tool, flag, default, or format is wrong; verify against the tool's own
source or help output first, and quote that verification in the report.environment-mismatch — the rule assumes something (paths, permissions, cluster shape) that the target
environment class does not satisfy; report only when the mismatch looks general, not site-specific.missing-coverage — the pack gives no guidance for a component or situation it plainly should cover.If the problem disappears on a careful re-read, or is specific to one site's configuration, do not file.
The report must state the driver model and the skills commit it was running (for example
claude-opus-5, skills @ abc1234):
git rev-parse --short HEADRun that from the repository root. In every command in this skill, replace placeholders BEFORE running
and never leave angle brackets in a shell line: <...> parses as redirection and can truncate files.
If the pack was vendored without git history, record the release or image tag it came from. A report that cannot say which version it observed cannot be triaged.
The issue lands in a public repository. Nothing you emit, in the title, the body, a comment, a search term, or a version string, may contain: Quote pack text from the public repository freely (not from a locally modified or vendored copy, which may carry private details); describe your environment only in generic terms (GPU class, backend, harness). When in doubt, leave it out — the rule file, version, and defect class are usually enough to reproduce.
Search titles AND bodies in one bounded, body-inclusive query. A labeled query adds nothing (--label
ANDs into the search, so it is a strict subset of the unlabeled one), the default limit of 30 hides real
matches for common keys such as README.md, and --json returns bodies inline instead of costing one
gh issue view per hit. Use the bare filename as the search term (no backticks):
gh issue list --repo ai-dynamo/dynamo --state all --limit 100 --json number,title,body \
--search 'benchmark-isolation.md in:title,body'Review every hit whose title starts with [AGENT]: or whose body mentions the same file and
defect class, and read each candidate's comments too, because confirmations of an existing defect
are filed as comments (below) and do not appear in title or body search:
ISSUE_NUMBER=123
gh issue view "$ISSUE_NUMBER" --repo ai-dynamo/dynamo --commentsIf a matching issue exists, do not file a duplicate: draft the same body (step 5), route it through step 6 with the target recorded as "comment on #123", and on approval run the command with BOTH variables assigned in the same shell invocation (nothing persists between harness shell calls):
ISSUE_NUMBER=123
BODY_FILE=$EXP_ROOT/analysis/skillpack-issue-drafts/001-perf-analyzer-body.md
gh issue comment "$ISSUE_NUMBER" --repo ai-dynamo/dynamo --body-file "$BODY_FILE"File at most one new issue per session; if the session surfaced several defects, put the most impactful one in the issue and list the rest briefly in its body.
Title: [AGENT]: <file path relative to repo root>: <one-line defect>.
Write the body with a file-writing tool, never by echoing it through a shell, to a run-scoped path that
names the invoking role, because several roles can hit defects in the same engagement window: inside an
engagement <EXP_ROOT>/analysis/skillpack-issue-drafts/NNN-<role>-body.md (NNN increasing), otherwise
./skillpack-issue-drafts/NNN-<role>-body.md under the current working directory. Never use a shared
fixed path such as /tmp, where another role's write can replace an approved body before it is
submitted. Delete the draft file once its issue or comment is filed, so a later invocation cannot inherit
a stale body. Follow the
agent-reported template's structure:
### Agent identity
<driver model>, skills @ <commit or tag>
### What the instructions said vs what you verified
Defect class: <contradiction | dead-reference | unexecutable | factual-error | environment-mismatch | missing-coverage>
Location: <file path and the section heading or quoted sentence>
<exact quote(s) of what the pack says; for a contradiction, quote both sides>
<the generic, sanitized observation that contradicts it, how it was verified, and what the agent could not do,
did wrong, or had to route around>
### Suggested correction
<the wording you would have needed; omit the section if unsure>Filing a public issue or comment is an external side effect that needs the operator's approval of the exact drafted text. Two cases:
gh issue create or gh issue comment. Record the draft in
<EXP_ROOT>/analysis/skillpack-defects.md (dated section, defect class, location, draft title,
draft body path, proposed target: new issue or comment on #N, status unfiled) and return that
path to your parent. The top-level agent batches every unfiled draft, presents them to the operator,
and on approval files at most ONE new issue per session (secondary defects go in its body) plus any
approved comments, then updates each draft's status to filed with the URL. This is what makes
"one issue per session" hold across roles.Whoever files: assign the title from a quoted heredoc in the same shell invocation as the command
(harness shells do not persist variables between calls), and pass the approved body file unchanged.
Quoting "$ISSUE_TITLE" at the call site protects nothing on its own: backticks and $() in a drafted
title are interpreted when the variable is assigned, and the pack's own style backticks every flag.
Do not edit the body between approval and filing; file the same path the operator saw.
BODY_FILE=$EXP_ROOT/analysis/skillpack-issue-drafts/001-perf-analyzer-body.md
ISSUE_TITLE=$(cat <<'EOF'
[AGENT]: agent-docs/rules/benchmarking/benchmark-isolation.md: one-line defect
EOF
)
gh issue create --repo ai-dynamo/dynamo --title "$ISSUE_TITLE" --body-file "$BODY_FILE" --label agent-reportedLabels behave two ways depending on the client path: the REST API silently drops labels the
reporter may not set ("Only users with push access can set labels for new issues. Labels are silently
dropped otherwise."), while gh may instead fail before creating the issue when it cannot resolve a
label. Handle both: if the command fails on the label, retry without --label; if it succeeds,
verify:
ISSUE_NUMBER=123
gh issue view "$ISSUE_NUMBER" --repo ai-dynamo/dynamo --json labels --jq '[.labels[].name]'If agent-reported is absent, tell the operator so a maintainer can add it; maintainers also triage
by the [AGENT]: title prefix, and the step 4 search covers unlabeled reports.
Write the complete draft to an append-only artifact the invoking role owns and tell the operator
where it is. Inside an optimization engagement that is <EXP_ROOT>/analysis/skillpack-defects.md
(one dated section per draft, shaped like an asks.jsonl entry: defect class, location, draft
title, draft body, status unfiled); never write under final/, whose three artifacts belong to
hypothesis-generator and are written only at stop-request time. Outside an engagement, write
skillpack-issue-draft-<n>.md at the root of the current working directory. A
drafted-but-unfiled report is still telemetry; a silent workaround is not.
© ai-dynamo, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .agents/skills/report-skillpack-issue of ai-dynamo/dynamo.
Open the folder on GitHubat commit 1668037
Report Skillpack Issue next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Report Skillpack Issue this skillai-dynamo/dynamo | 8.2k | — | ~2.5k | Automated safety check: Pass | Apache-2.0 | |
| Diagnosing Superpowers Sessionsobra/superpowers | 296k | 3 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Auto Skill Buildertradecatlabs/vibe-coding-cn | 17k | 1 repos | ~2.4k | Automated safety check: Pass | MIT | |
| Agentic Workflow Designerdotnet/Open-XML-SDK | 4.6k | 2 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Skill Seekers Builderyusufkaraaslan/Skill_Seekers | 15k | — | ~760 | Automated safety check: Pass | MIT | |
| Repomix Codebase Packeryamadashy/repomix | 29k | — | ~1.3k | Automated safety check: Notes | MIT |
obra/superpowers
Investigates a session where Superpowers went wrong, reads the transcripts on disk and produces an evidence-cited report, optionally prepared as a bug report for the maintainers.
tradecatlabs/vibe-coding-cn
Meta-skill that turns docs, APIs, code or specs into a reusable skill with references and a quality gate, and refactors skills that are unclear or misfire.
dotnet/Open-XML-SDK
Interviews you one question at a time about goal, trigger, permissions and data needs, then drafts a single agentic workflow markdown file.
yusufkaraaslan/Skill_Seekers
Detects the type of a knowledge source and uses the Skill Seekers MCP tools to turn docs, repos, PDFs or videos into packaged AI skills.
yamadashy/repomix
Packs a local directory or remote GitHub repository into one AI-friendly file with Repomix, then searches it to explore structure, find patterns and count tokens.
dontbesilent2025/dbskill
Turns a problem you keep running into into a single installable, tested skill, and prepares a GitHub repository only when you ask to share it.
ai-dynamo/dynamo
Create self-contained interactive HTML code-review dashboards from GitHub or GitLab pull requests, checked-out branch diffs, or supplied unified diffs, with correctness and safe-to-merge scores…
ai-dynamo/dynamo
Knowledge of Fern's built-in MDX component library (accordions, callouts, cards, steps, tabs, code blocks, API-reference snippets, and more) for authoring docs pages.
ai-dynamo/dynamo
Knowledge of Fern's site-level navigation and structure configuration — how a docs site is organized in docs.yml (and product/version .yml files) using sections, pages, folders, tabs, tab variants…
ai-dynamo/dynamo
Drives persistent Claude Code, Codex, or OpenCode agent sessions through a Dynamo OpenAI/Anthropic-compatible endpoint over Agent Client Protocol (ACP).
ai-dynamo/dynamo
Benchmark and profile the Dynamo frontend (dynamo.frontend HTTP + tokenizer + KV router) against mock workers (dynamo.mocker).
ai-dynamo/dynamo
Selects and freezes a question-driven AIPerf workload, objective, load policy, and Kubernetes execution manifest for a successfully deployed Dynamo candidate.
Works with
Categories
Reports a defect in the optimization skillpack itself (the skills under .agents/skills/, the documents under agent-docs/, the role contracts under agents/, and the repository AGENTS.md files) as a…. Report Skillpack Issue is an agent skill from ai-dynamo/dynamo.md files) as a GitHub issue on ai-dynamo/dynamo, using the repository's agent-reported issue conventions.
Report Skillpack Issue fits situations like: A pack rule contradicts another pack rule; A cross-reference points at a file; section that does not exist; an instruction cannot be executed as written.
Run `npx skills add ai-dynamo/dynamo --skill report-skillpack-issue -a claude-code`. Or copy the skill folder (.agents/skills/report-skillpack-issue in ai-dynamo/dynamo) into .claude/skills/report-skillpack-issue in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ai-dynamo/dynamo --skill report-skillpack-issue -a codex`. Or copy the skill folder (.agents/skills/report-skillpack-issue in ai-dynamo/dynamo) into .agents/skills/report-skillpack-issue in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ai-dynamo/dynamo --skill report-skillpack-issue -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/report-skillpack-issue, .gemini/skills/report-skillpack-issue, .github/skills/report-skillpack-issue and .opencode/skills/report-skillpack-issue in your project.
Going by SKILL.md and its folder, Report Skillpack Issue needs the command-line tools its instructions call (gh and git).
SKILL.md contains no URLs. Its commands use gh and git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Report Skillpack Issue is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.5k tokens (SKILL.md is roughly 9.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Report Skillpack Issue: Diagnosing Superpowers Sessions (obra/superpowers, 296k stars), Auto Skill Builder (tradecatlabs/vibe-coding-cn, 17k stars), Agentic Workflow Designer (dotnet/Open-XML-SDK, 4.6k stars) and Skill Seekers Builder (yusufkaraaslan/Skill_Seekers, 15k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
ai-dynamo (a GitHub organization) maintains it in ai-dynamo/dynamo, which has 8,245 GitHub stars. The repository holds 27 skills in this directory. The repository was last updated on October 8, 2026.
Source: ai-dynamo/dynamo on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.