Performance Capacity
majiayu000/spellbook
Plan, diagnose, and verify performance budgets, latency targets, load tests, capacity estimates, bottleneck analysis, caching strategy, query efficiency, queue throughput, and regression gates.
Run every Convex audit (authz, reviewer, advisor, insights) into one scored, deduped readiness report with an ordered fix plan — Lighthouse for your backend.
$ npx skills add openclaw/clawhub --skill convex-launch-readiness -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install openclaw/clawhub convex-launch-readiness --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/openclaw/clawhub.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/convex-launch-readiness .claude/skills/convex-launch-readiness && 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 "convex-launch-readiness" agent skill from https://github.com/openclaw/clawhub/tree/main/.agents/skills/convex-launch-readiness into .claude/skills/convex-launch-readiness/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "convex-launch-readiness", 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/openclaw/clawhub/tree/main/.agents/skills/convex-launch-readinessType 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 openclaw/clawhub --skill convex-launch-readiness -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install openclaw/clawhub convex-launch-readiness --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openclaw/clawhub.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/convex-launch-readiness .agents/skills/convex-launch-readiness && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "convex-launch-readiness" agent skill from https://github.com/openclaw/clawhub/tree/main/.agents/skills/convex-launch-readiness into .agents/skills/convex-launch-readiness/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "convex-launch-readiness", 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 openclaw/clawhub --skill convex-launch-readiness -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install openclaw/clawhub convex-launch-readiness --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openclaw/clawhub.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/convex-launch-readiness .cursor/skills/convex-launch-readiness && 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 "convex-launch-readiness" agent skill from https://github.com/openclaw/clawhub/tree/main/.agents/skills/convex-launch-readiness into .cursor/skills/convex-launch-readiness/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "convex-launch-readiness", 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/openclaw/clawhub.git --path .agents/skills/convex-launch-readiness--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 openclaw/clawhub --skill convex-launch-readiness -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install openclaw/clawhub convex-launch-readiness --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openclaw/clawhub.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/convex-launch-readiness .gemini/skills/convex-launch-readiness && 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 "convex-launch-readiness" agent skill from https://github.com/openclaw/clawhub/tree/main/.agents/skills/convex-launch-readiness into .gemini/skills/convex-launch-readiness/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "convex-launch-readiness", 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 openclaw/clawhub convex-launch-readinessInstalls 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 openclaw/clawhub --skill convex-launch-readiness -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/openclaw/clawhub.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/convex-launch-readiness .github/skills/convex-launch-readiness && 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 "convex-launch-readiness" agent skill from https://github.com/openclaw/clawhub/tree/main/.agents/skills/convex-launch-readiness into .github/skills/convex-launch-readiness/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "convex-launch-readiness", 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 openclaw/clawhub --skill convex-launch-readiness -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install openclaw/clawhub convex-launch-readiness --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openclaw/clawhub.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/convex-launch-readiness .opencode/skills/convex-launch-readiness && 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 "convex-launch-readiness" agent skill from https://github.com/openclaw/clawhub/tree/main/.agents/skills/convex-launch-readiness into .opencode/skills/convex-launch-readiness/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "convex-launch-readiness", 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.
convex-launch-readinessRun every Convex audit (authz, reviewer, advisor, insights) into one scored, deduped readiness report with an ordered fix plan — Lighthouse for your backend.
Convex Launch Readiness is an agent skill from openclaw/clawhub. Run every Convex audit (authz, reviewer, advisor, insights) into one scored, deduped readiness report with an ordered fix plan — Lighthouse for your backend.
Its SKILL.md is about 1.2k 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 Product & Project Management, covering Feature launches and release readiness, Authorization and RBAC and Web performance. The repository describes itself as: Skill + Plugin Registry for OpenClaw. The licence is MIT.
7 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit d044664. 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.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
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.
Convex Launch Readiness loads about 1.2k tokens when it runs. Until then it costs about 45 tokens; SKILL.md has 642 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 openclaw/clawhub at commit d044664, republished under its MIT licence (© openclaw). 642 words, ~1,196 tokens.
.claude/skills/convex-launch-readiness/SKILL.md (or your agent's skills folder).<!-- GENERATED from convex-agents content/capabilities/launch-readiness.json — do not edit by hand. -->
Readiness is not one check — it's the union of the checks, deduped, ranked, and scored. This capability is pure composition over the findings bus (specs/finding.schema.json): it runs each audit capability, normalizes their outputs into one report (specs/finding-report.schema.json), computes an auditable score, and — because every finding names a fixCapability — hands the user a prioritized, actionable punch list instead of four separate reports. It fixes nothing itself; it decides WHAT to fix and in what order, then dispatches to the fixers.
identity field to a normalized function/table key (e.g. messages:list) that is the SAME whether the pass reported a code-locus or a deployment-locus for that function — so the SAME defect seen from two loci (reviewer flags a missing index at code-locus, advisor flags its read-limit symptom at deployment-locus) collapses to ONE via the bus's (class, identity) dedup and isn't double-counted in the score. Keep the higher-confidence source. Drop nothing silently; a pass that errored/was skipped is a stated coverage gap, not a clean result.© openclaw, MIT. 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/convex-launch-readiness of openclaw/clawhub.
Open the folder on GitHubat commit d044664
Convex Launch Readiness 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 |
|---|---|---|---|---|---|---|
| Convex Launch Readiness this skillopenclaw/clawhub | 9.5k | — | ~1.2k | Automated safety check: Pass | MIT | |
| Performance Capacitymajiayu000/spellbook | 287 | — | ~501 | Automated safety check: Pass | MIT | |
| Azure LighthouseMicrosoftDocs/Agent-Skills | 777 | — | ~1.6k | Automated safety check: Pass | CC-BY-4.0 | |
| Ohdearohdearapp/ohdear-cli | 141 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Dev Teamaffaan-m/ECC | 276k | 1 repos | ~2.1k | Automated safety check: Pass | MIT | |
| Production Auditaffaan-m/ECC | 276k | 1 repos | ~1.9k | Automated safety check: Pass | MIT |
majiayu000/spellbook
Plan, diagnose, and verify performance budgets, latency targets, load tests, capacity estimates, bottleneck analysis, caching strategy, query efficiency, queue throughput, and regression gates.
MicrosoftDocs/Agent-Skills
Expert knowledge for Azure Lighthouse development including decision making, security, configuration, integrations & coding patterns, and deployment.
ohdearapp/ohdear-cli
Manage Oh Dear website monitoring using the ohdear CLI. An agent skill from ohdearapp/ohdear-cli.
affaan-m/ECC
Simulate a collaborative dev team session where multiple role-based personas (PM, Architect, Developer, QA) respond to the same problem together in one session.
affaan-m/ECC
Local-evidence production readiness audit for shipped apps, pre-launch reviews, post-merge checks, and "what breaks in prod?" questions without sending repo data to an external audit service.
jeremylongshore/tons-of-skills-marketplace
Gate an Instantly integration release across identity, scopes, data, limits, operations, and rollback.
openclaw/clawhub
Creates and manages Axiom monitors and notifiers end to end through the v2 API, with scripts for each CRUD operation and a recommended create-validate-tune workflow.
openclaw/clawhub
Designs and deploys Axiom dashboards through the API, choosing chart types and writing APL or metrics queries, with templates and migration notes for Splunk and Grafana.
openclaw/clawhub
Finds unused data in Axiom by analyzing query patterns, then deploys a cost dashboard and ingest monitors to keep spend under the contract limit.
openclaw/clawhub
Explores and queries OpenTelemetry metrics in Axiom MetricsDB, listing datasets, metrics and tags first and picking the right aggregation for each metric's type.
openclaw/clawhub
Investigates incidents and production problems with hypothesis-driven debugging, queries Axiom observability data when available, and keeps secrets out of commands and output.
openclaw/clawhub
Scaffolds evaluation suites for the Axiom AI SDK: eval files, scorers, flag schemas and axiom.config.ts, generated from plain descriptions of an AI capability.
Run every Convex audit (authz, reviewer, advisor, insights) into one scored, deduped readiness report with an ordered fix plan — Lighthouse for your backend. Convex Launch Readiness is an agent skill from openclaw/clawhub. Run every Convex audit (authz, reviewer, advisor, insights) into one scored, deduped readiness report with an ordered fix plan — Lighthouse for your backend.
Convex Launch Readiness fits situations like: tasks that involve Feature launches and release readiness; tasks that involve Authorization and RBAC; tasks that involve Web performance.
Run `npx skills add openclaw/clawhub --skill convex-launch-readiness -a claude-code`. Or copy the skill folder (.agents/skills/convex-launch-readiness in openclaw/clawhub) into .claude/skills/convex-launch-readiness in your project. Claude Code loads it when a task matches its description.
Run `npx skills add openclaw/clawhub --skill convex-launch-readiness -a codex`. Or copy the skill folder (.agents/skills/convex-launch-readiness in openclaw/clawhub) into .agents/skills/convex-launch-readiness 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 openclaw/clawhub --skill convex-launch-readiness -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/convex-launch-readiness, .gemini/skills/convex-launch-readiness, .github/skills/convex-launch-readiness and .opencode/skills/convex-launch-readiness in your project.
SKILL.md names no scripts, command-line tools or credentials: Convex Launch Readiness is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. 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.
Convex Launch Readiness is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.2k tokens (SKILL.md is roughly 4.8k 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 Convex Launch Readiness: Performance Capacity (majiayu000/spellbook, 287 stars), Azure Lighthouse (MicrosoftDocs/Agent-Skills, 777 stars), Ohdear (ohdearapp/ohdear-cli, 141 stars) and Dev Team (affaan-m/ECC, 276k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
openclaw (a GitHub organization) maintains it in openclaw/clawhub, which has 9,500 GitHub stars. The repository holds 55 skills in this directory. The repository was last updated on October 8, 2026.
Source: openclaw/clawhub on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.