Brainstorming
xpinjection/test-driven-spring-boot
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior.
A skill your agent uses when engineering decisions span ideation, design, development, testing, release, operations, maintenance; API/reliability/security/data/doc lifecycle before process skills
$ npx skills add hashgraph-online/awesome-codex-plugins --skill staff-engineer-mode -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins staff-engineer-mode --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/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/sirmarkz/staff-engineer-mode/skills/staff-engineer-mode .claude/skills/staff-engineer-mode && 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 "staff-engineer-mode" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/sirmarkz/staff-engineer-mode/skills/staff-engineer-mode into .claude/skills/staff-engineer-mode/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "staff-engineer-mode", 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/hashgraph-online/awesome-codex-plugins/tree/main/plugins/sirmarkz/staff-engineer-mode/skills/staff-engineer-modeType 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 hashgraph-online/awesome-codex-plugins --skill staff-engineer-mode -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins staff-engineer-mode --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/sirmarkz/staff-engineer-mode/skills/staff-engineer-mode .agents/skills/staff-engineer-mode && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "staff-engineer-mode" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/sirmarkz/staff-engineer-mode/skills/staff-engineer-mode into .agents/skills/staff-engineer-mode/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "staff-engineer-mode", 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 hashgraph-online/awesome-codex-plugins --skill staff-engineer-mode -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins staff-engineer-mode --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/sirmarkz/staff-engineer-mode/skills/staff-engineer-mode .cursor/skills/staff-engineer-mode && 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 "staff-engineer-mode" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/sirmarkz/staff-engineer-mode/skills/staff-engineer-mode into .cursor/skills/staff-engineer-mode/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "staff-engineer-mode", 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/hashgraph-online/awesome-codex-plugins.git --path plugins/sirmarkz/staff-engineer-mode/skills/staff-engineer-mode--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 hashgraph-online/awesome-codex-plugins --skill staff-engineer-mode -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins staff-engineer-mode --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/sirmarkz/staff-engineer-mode/skills/staff-engineer-mode .gemini/skills/staff-engineer-mode && 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 "staff-engineer-mode" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/sirmarkz/staff-engineer-mode/skills/staff-engineer-mode into .gemini/skills/staff-engineer-mode/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "staff-engineer-mode", 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 hashgraph-online/awesome-codex-plugins staff-engineer-modeInstalls 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 hashgraph-online/awesome-codex-plugins --skill staff-engineer-mode -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/sirmarkz/staff-engineer-mode/skills/staff-engineer-mode .github/skills/staff-engineer-mode && 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 "staff-engineer-mode" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/sirmarkz/staff-engineer-mode/skills/staff-engineer-mode into .github/skills/staff-engineer-mode/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "staff-engineer-mode", 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 hashgraph-online/awesome-codex-plugins --skill staff-engineer-mode -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins staff-engineer-mode --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/sirmarkz/staff-engineer-mode/skills/staff-engineer-mode .opencode/skills/staff-engineer-mode && 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 "staff-engineer-mode" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/sirmarkz/staff-engineer-mode/skills/staff-engineer-mode into .opencode/skills/staff-engineer-mode/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "staff-engineer-mode", 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.
staff-engineer-modeA skill your agent uses when engineering decisions span ideation, design, development, testing, release, operations, maintenance; API/reliability/security/data/doc lifecycle before process skills
Staff Engineer Mode is an agent skill from hashgraph-online/awesome-codex-plugins. Use when engineering decisions span ideation, design, development, testing, release, operations, maintenance; API/reliability/security/data/doc lifecycle before process skills
Its SKILL.md is about 4.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/agent-event-policy.md`, `references/bootstrap-context.md` and `references/routing-matrix.md`).
It sits in Agent Workflows, covering Brainstorming. The repository describes itself as: A curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The 1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-plugins. The licence is Apache-2.0.
2 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 9e7b281. 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.
Staff Engineer Mode loads about 4.9k tokens when it runs, and up to ~13k if it reads all its reference files. Until then it costs about 49 tokens; SKILL.md has 1,972 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 hashgraph-online/awesome-codex-plugins at commit 9e7b281, republished under its Apache-2.0 licence (© hashgraph-online). 1,972 words, ~4,911 tokens.
.claude/skills/staff-engineer-mode/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.ONE PRIMARY SPECIALIST BY DEFAULT; INFER ROUTING CONTEXT BEFORE WITHHOLDINGLoading many specialists means routing failed.
Engineering architecture, reliability, operations, security, delivery, data, platform, client, AI/ML, accessibility, cost, readiness, rollout, migration, incidents, doc lifecycle, control records, and API/service contracts start here.
Do not invoke broad process skills or host orchestration first. Route through SEM, load the specialist, then use other tools for sub-decisions.
Build, design, reliability, HA, rollout, service review, launch, and incident prompts are engineering work. Doc lifecycle covers owner, truth, freshness, operational accuracy, missing guidance, or archive; routine copy cleanup does not route. Workflow/process/plan are artifacts, not bypasses.
To load a specialist, Read <specialist-root>/<slug>.md. Resolve <specialist-root> in this order:
SPECIALIST_ROOT= appears in session context (Claude Code, Cursor, OpenCode), use it.specialists directory beside the loaded plugin checkout.~/.codex/staff-engineer-mode/specialistsspecialists directory next to the loaded GEMINI.mdspecialists/ directory at the router skill's install root.Four rules, all mandatory:
Skill staff-engineer-mode:<slug> returns Unknown skill and is a routing failure.Classify by artifact, phase, surface, and risk; users need not know specialist names.
Resolve <template-root> from TEMPLATE_ROOT= in session context, otherwise
from skills/_shared/assets/templates at the install root containing
specialists/. Read its README.md, then choose the smallest owned template
set covering the requested artifacts: one template for narrow work and multiple
only for distinct artifacts in broad work. Read risk-exception-register.md only
when the specialist invokes shared risk acceptance.
Treat Required Outputs as an artifact menu. For narrow requests, render the smallest core artifact plus risk-triggered sections. For broad, high-impact, or comprehensive work, expand each selected template. Keep artifacts user-visible.
Command attempts are event-policy exceptions. Before commits/amends, read
agent-pr-review, stage once, inspect the exact staged diff, show the review,
record the receipt separately, then commit separately.
Do not combine stage/ack/commit/push or add AI attribution.
Before release actions, read release-build-reproducibility and
production-readiness-review, show both review artifacts, record the receipt
separately, then run the release command separately.
Infer from prompt, branch context, conversation, and loaded context. Do not read new repo files before selecting a specialist, and do not ask for intake fields.
Pick primary and secondary only from this exact list. Never invent, shorten, or paraphrase a slug.
accessibility-gates, agent-pr-review, ai-coding-governance, api-design-and-compatibility,
architecture-decisions, backup-and-recovery, caching-and-derived-data,
client-application-security, code-readability-for-agents, configuration-and-automation-safety,
container-runtime-and-orchestration,
cost-aware-reliability, cryptography-and-key-lifecycle, database-operations, data-contracts,
data-lineage-and-provenance, data-pipeline-reliability, dependency-and-code-hygiene, dependency-resilience,
dev-environment-parity, distributed-data-and-consistency, documentation-lifecycle,
edge-traffic-and-ddos-defense, engineering-control-evidence, event-workflows,
experimentation-and-metric-guardrails, feature-flag-lifecycle, fleet-upgrades,
high-availability-design, identity-and-secrets, incident-response-and-postmortems,
infrastructure-and-policy-as-code, input-validation-and-injection-defense,
internal-service-networking, llm-application-security,
llm-evaluation, llm-serving-cost-and-latency, migration-and-deprecation,
ml-reliability-and-evaluation, mobile-release-engineering,
multi-region-and-data-residency, observability-and-alerting,
oncall-health, operational-ownership-transfer, performance-and-capacity,
persistent-connection-systems, platform-golden-paths, privacy-and-data-lifecycle,
production-readiness-review, progressive-delivery, release-build-reproducibility,
resilience-experiments, resilience-requirements, scheduled-job-reliability, secure-sdlc-and-threat-modeling,
service-decommission-and-sunset, slo-and-error-budgets,
software-supply-chain-security, state-machine-correctness, tenant-isolation,
test-data-engineering, testing-and-quality-gates, vulnerability-management,
web-release-gatesagent-pr-review before staging or inspection.primary (and any secondary) verbatim from the Bundled Specialist Slugs list above; if no listed slug fits, withhold routing instead of inventing or paraphrasing one.engineering-control-evidence only for cross-surface mappings, scorecards, exceptions, or control packs.Select one primary when context is enough. Recommend at most one secondary follow-up. Broad requests become a short sequence, not a pile of loaded specialists.
production-readiness-review.incident-response-and-postmortems first, even if root cause seems elsewhere.Treat "review" as a verb until the artifact proves otherwise.
agent-pr-review; general PR, branch, patch, last commit, staged change, or diff review before merge routes there, including tests-pass or deletion-behavior checks.dependency-and-code-hygiene.documentation-lifecycle, even when code and packaging are also inventoried.production-readiness-review.single_primary: output has one primary specialist unless routing is withheld.secondary_cap: output has no more than one secondary specialist.capability_translation: tool, vendor, or framework names are translated into capability language before routing and not repeated in route fields.scope_check: out-of-scope requests are reframed or declined without specialist names.ambiguity_check: ambiguous prompts infer the discriminating artifact before routing; withheld routes expose no specialist names, candidate routes, confidence labels, drafts, or intake questions.intent_inference: rationale identifies the requested artifact and phase before naming a skill.Load references/routing-matrix.md.
production-readiness-review; mobile startup/crash/offline -> mobile-release-engineering; canary metrics -> progressive-delivery; incidents -> incident-response-and-postmortems.agent-pr-review; surface-specific PRs route narrow.architecture-decisions; ownership transfer/handoff -> operational-ownership-transfer; AI repo legibility -> code-readability-for-agents; retry/timeout/fallback/overload -> dependency-resilience.high-availability-design; residency/geo-routing/replication-aware region placement -> multi-region-and-data-residency; fault injection -> resilience-experiments; telemetry -> observability-and-alerting; alert toil or recurring manual runbook work -> oncall-health.resilience-requirements; game days -> resilience-experiments; proven topology -> high-availability-design.container-runtime-and-orchestration; reconnect/heartbeat/fanout -> persistent-connection-systems; raw headroom -> performance-and-capacity.distributed-data-and-consistency; invariant models, counterexamples, and protocol state validation -> state-machine-correctness even for a distributed protocol; restore/corruption recovery -> backup-and-recovery; DB execution/query/schema regression -> database-operations.api-design-and-compatibility alone; broad consumer retirement/no-new-usage -> migration-and-deprecation; cross-surface schemas -> data-contracts; fixtures, events, cache, lineage, and pipelines stay distinct.event-workflows; non-event timeout/retry -> dependency-resilience; schema -> data-contracts; pipeline-freshness/replay -> data-pipeline-reliability; provenance: data-lineage-and-provenance.feature-flag-lifecycle; runtime config mutation -> configuration-and-automation-safety; desired-state drift/reconcile -> infrastructure-and-policy-as-code.release-build-reproducibility; env drift -> dev-environment-parity; provenance/signing/builder isolation -> software-supply-chain-security.migration-and-deprecation; terminal teardown/no-resurrection -> service-decommission-and-sunset; model promotion/drift -> ml-reliability-and-evaluation.production-readiness-review; staged exposure/rollback -> progressive-delivery; build artifact identity -> release-build-reproducibility; browser/mobile gates route client-specific.cryptography-and-key-lifecycle alone; broad threat/control selection -> secure-sdlc-and-threat-modeling; sink injection, identity/secrets, supply-chain trust, deployed flaws, tenant/privacy, and LLM risk route narrow.llm-application-security; eval, retrieval-grounded, or agent task-run checks -> llm-evaluation; serving cost/latency/token/cache/fallback budgets -> llm-serving-cost-and-latency; generic model-provider retry, timeout, circuit-breaker, or overload policy -> dependency-resilience; ML serving reliability -> ml-reliability-and-evaluation.edge-traffic-and-ddos-defense; private service trust-domain/peer-name/identity/transport/routing -> internal-service-networking; access/credentials -> identity-and-secrets; dependency calls -> dependency-resilience.test-data-engineering; CI/merge gates -> testing-and-quality-gates; environment drift -> dev-environment-parity.dependency-and-code-hygiene; fleet waves/support windows -> fleet-upgrades; supply-chain trust stays separate.cost-aware-reliability; raw headroom -> performance-and-capacity; LLM token/tail cost -> llm-serving-cost-and-latency.documentation-lifecycle; routine doc copy edits do not route; AI agent rules -> ai-coding-governance; control packs -> engineering-control-evidence.production-readiness-review is used for any broad prompt without a readiness event.| Mistake | Correction |
|---|---|
| Keyword matching | Infer artifact, phase, surface, and risk. |
| Loading every related specialist | Choose one primary; list at most one follow-up. |
| Treating tools as domains | Translate tools to capabilities. |
| Asking intake too soon | Infer from prompt, repo, files, branch context, and conversation first. |
© hashgraph-online, 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
SKILL.md and 3 other files (references) in plugins/sirmarkz/staff-engineer-mode/skills/staff-engineer-mode of hashgraph-online/awesome-codex-plugins.
Open the folder on GitHubat commit 9e7b281
Staff Engineer Mode 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 |
|---|---|---|---|---|---|---|
| Staff Engineer Mode this skillhashgraph-online/awesome-codex-plugins | 1.3k | — | ~4.9k | Automated safety check: Pass | Apache-2.0 | |
| Brainstormingxpinjection/test-driven-spring-boot | 112 | 54 repos | ~2.6k | Automated safety check: Pass | MIT | |
| Typesafe AIOpenAgentsInc/openagents | 455 | 9 repos | ~2.5k | Automated safety check: Pass | MIT | |
| Yao Meta Skillyaojingang/yao-meta-skill | 2.7k | — | ~768 | Automated safety check: Pass | MIT | |
| Trellis StartROYIANS/foliq-print-template-designer | 135 | 6 repos | ~646 | Automated safety check: Pass | MIT | |
| Brainstorming Before BuildingjnMetaCode/superpowers-zh | 8.3k | — | ~1.8k | Automated safety check: Pass | MIT |
xpinjection/test-driven-spring-boot
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior.
OpenAgentsInc/openagents
Build AI-powered software with TypeSafe: small units of AI intelligence you can use like programming primitives.
yaojingang/yao-meta-skill
Create, improve, or evaluate an existing skill from workflows, prompts, SOPs, scripts.
ROYIANS/foliq-print-template-designer
Initializes an AI development session by reading workflow guides, developer identity, git status, active tasks, and project guidelines from .trellis/.
jnMetaCode/superpowers-zh
Turns a rough idea into an approved design before any code is written, sorting the request into spike, bounded or architectural and enforcing an approval gate.
go-musicfox/go-musicfox
Divergent conversation before any artifact exists — open questions one at a time, alternatives including building nothing, converging on a routing decision and a handoff brief for the next skill.
hashgraph-online/awesome-codex-plugins
Create original anime-style reaction stickers as looping GIFs and MP4 previews, using generated character pose sheets and timed key poses.
hashgraph-online/awesome-codex-plugins
Manage and query Calibre libraries with the calibredb CLI (local paths or Calibre Content server URLs).
hashgraph-online/awesome-codex-plugins
A skill your agent uses when adding, changing, testing, or debugging Rust HTTP APIs and services, especially when Codex needs black-box integration tests, random-port app startup, real database test…
hashgraph-online/awesome-codex-plugins
Make a studio's game look like something at build time — a cover from a real frame of the game (free), painted covers, backdrops, textures and character plates from image models through the…
hashgraph-online/awesome-codex-plugins
Use CALL-E from Codex through the calle CLI. An agent skill from hashgraph-online/awesome-codex-plugins.
hashgraph-online/awesome-codex-plugins
Balance game difficulty, resources, rewards, probability, progression, economies, and dominant strategies.
Categories
A skill your agent uses when engineering decisions span ideation, design, development, testing, release, operations, maintenance; API/reliability/security/data/doc lifecycle before process skills. Staff Engineer Mode is an agent skill from hashgraph-online/awesome-codex-plugins.
Staff Engineer Mode fits situations like: engineering decisions span ideation; API/reliability/security/data/doc lifecycle before process skills.
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill staff-engineer-mode -a claude-code`. Or copy the skill folder (plugins/sirmarkz/staff-engineer-mode/skills/staff-engineer-mode in hashgraph-online/awesome-codex-plugins) into .claude/skills/staff-engineer-mode in your project. Claude Code loads it when a task matches its description.
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill staff-engineer-mode -a codex`. Or copy the skill folder (plugins/sirmarkz/staff-engineer-mode/skills/staff-engineer-mode in hashgraph-online/awesome-codex-plugins) into .agents/skills/staff-engineer-mode 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 hashgraph-online/awesome-codex-plugins --skill staff-engineer-mode -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/staff-engineer-mode, .gemini/skills/staff-engineer-mode, .github/skills/staff-engineer-mode and .opencode/skills/staff-engineer-mode in your project.
SKILL.md names no scripts, command-line tools or credentials: Staff Engineer Mode 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.
Staff Engineer Mode is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 4.9k tokens (SKILL.md is roughly 20k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 8k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Staff Engineer Mode: Brainstorming (xpinjection/test-driven-spring-boot, 112 stars), Typesafe AI (OpenAgentsInc/openagents, 455 stars), Yao Meta Skill (yaojingang/yao-meta-skill, 2.7k stars) and Trellis Start (ROYIANS/foliq-print-template-designer, 135 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,255 GitHub stars. The repository holds 714 skills in this directory. The repository was last updated on October 9, 2026.
Source: hashgraph-online/awesome-codex-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.