Conference Developer Endpoints
swyxio/skills
Add or review developer- and AI-facing conference data endpoints such as llms.txt, sessions.json, speakers.json, or MCP routes for AI Engineer conference pages.
Work a site's SEO and AI-visibility (GEO) backlog through the hosted LogNorm MCP server: audits, fixes, content, AI-answer tracking.
$ npx skills add sickn33/agentic-awesome-skills --skill lognorm -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sickn33/agentic-awesome-skills lognorm --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/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/lognorm .claude/skills/lognorm && 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 "lognorm" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/lognorm into .claude/skills/lognorm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lognorm", 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/sickn33/agentic-awesome-skills/tree/main/skills/lognormType 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 sickn33/agentic-awesome-skills --skill lognorm -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sickn33/agentic-awesome-skills lognorm --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/lognorm .agents/skills/lognorm && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "lognorm" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/lognorm into .agents/skills/lognorm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lognorm", 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 sickn33/agentic-awesome-skills --skill lognorm -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sickn33/agentic-awesome-skills lognorm --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/lognorm .cursor/skills/lognorm && 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 "lognorm" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/lognorm into .cursor/skills/lognorm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lognorm", 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/sickn33/agentic-awesome-skills.git --path skills/lognorm--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 sickn33/agentic-awesome-skills --skill lognorm -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sickn33/agentic-awesome-skills lognorm --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/lognorm .gemini/skills/lognorm && 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 "lognorm" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/lognorm into .gemini/skills/lognorm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lognorm", 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 sickn33/agentic-awesome-skills lognormInstalls 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 sickn33/agentic-awesome-skills --skill lognorm -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/lognorm .github/skills/lognorm && 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 "lognorm" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/lognorm into .github/skills/lognorm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lognorm", 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 sickn33/agentic-awesome-skills --skill lognorm -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sickn33/agentic-awesome-skills lognorm --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/lognorm .opencode/skills/lognorm && 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 "lognorm" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/lognorm into .opencode/skills/lognorm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lognorm", 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.
lognormWork a site's SEO and AI-visibility (GEO) backlog through the hosted LogNorm MCP server: audits, fixes, content, AI-answer tracking.
Lognorm is an agent skill from sickn33/agentic-awesome-skills. Work a site's SEO and AI-visibility (GEO) backlog through the hosted LogNorm MCP server: audits, fixes, content, AI-answer tracking.
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/playbooks.md`).
It sits in Marketing & SEO, covering AI search optimization and MCP servers. It works with Model Context Protocol. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 680176d. 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:
codexclaudeFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
lognorm.comFrom 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.
Lognorm loads about 1.4k tokens when it runs, and up to ~3.1k if it reads all its reference files. Until then it costs about 35 tokens; SKILL.md has 648 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 sickn33/agentic-awesome-skills at commit 680176d, republished under its MIT licence (© sickn33). 648 words, ~1,358 tokens.
.claude/skills/lognorm/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.LogNorm (https://lognorm.com) is the company's growth engine. It gathers the data (crawl and SEO audit, GEO audit, keyword research, Google Search Console, competitors, and how ChatGPT, Gemini and Google AI Overviews answer their buyers), ranks findings into moves, and the team plans the best into a weekly plan. Through the lognorm MCP server you join the workspace as a named teammate ("Sam's Panda") with a person's freedom, and the workspace needs no AI key for your work.
lognorm MCP server connected.If the lognorm tools are missing, tell the user:
claude mcp add --transport http lognorm https://lognorm.com/api/mcp, then /mcp → lognorm → Authenticate (one click in the browser)codex mcp add lognorm --url https://lognorm.com/api/mcp then codex mcp login lognormhttps://lognorm.com/api/mcpsearch with no query: who you are, data freshness, open requests, the guides, the API.execute: return await lognorm.guide.get({ id: "content" }). Guides: start, plan, fixes, content, topics, search, ai-visibility, competitors, brain, research, strategist, actions, trail.execute (JavaScript against the typed lognorm client; filter in code).list_actions → run_action.The planning and writing steps (topic plans, briefs, ideas, positioning, prompts, GEO assets, voice) are yours: read the matching context method for inputs and the exact schema, then save with the matching tool. LogNorm validates it and runs the same steps after it; its own processes (ranking, audits, research runs) run on LogNorm when you start them.
Comment your plan before you start a move (citing LogNorm's numbers), comment decisions as you make them, keep set_status current, comment what changed when done (files, PRs, ids), comment_on_content on drafts, run reviews as Growth strategist sessions (start_review → post_update → finish_review), and close dashboard requests with complete_request. The team follows and trusts your work through this trail.
Playbooks: references/playbooks.md.
start_run when the work needs it and say why.Example 1: connect and orient
User: "What should my team work on this week in LogNorm?"
lognorm MCP server is connected; if not, run the host-specific connect command above.search with no query to read identity, data freshness and open requests.execute: return await lognorm.plan.week() and include carry-over moves.Example 2: fix an audit finding in the codebase
// 1. Fetch the move and its evidence
const move = await lognorm.moves.get({ id: "<moveId>" });
// 2. List every affected URL for the failing rule
const findings = await lognorm.audit.findings({ rule: move.rule, limit: 500 });
// 3. Fix the cause in this repo (routes, templates, metadata, robots/sitemap)
// 4. Validate after deploy
await lognorm.validate_fix({ moveId: "<moveId>" });Comment the plan before you start, keep set_status current, and comment what changed (files, PRs, ids) when done.
lognorm MCP server connected; without it the tools are unavailable.start_run and say why instead of assuming current results.© sickn33, MIT. 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 1 other file (references) in skills/lognorm of sickn33/agentic-awesome-skills.
Open the folder on GitHubat commit 680176d
Lognorm 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 |
|---|---|---|---|---|---|---|
| Lognorm this skillsickn33/agentic-awesome-skills | 47k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Conference Developer Endpointsswyxio/skills | 175 | — | ~1.9k | Automated safety check: Pass | MIT | |
| CanonryCanonry/canonry | 171 | — | ~3.6k | Automated safety check: Pass | MIT | |
| Rank Monitorindranilbanerjee/digital-marketing-pro | 859 | 1 repos | ~2.9k | Automated safety check: Pass | MIT | |
| SEO Dataforseohashgraph-online/awesome-codex-plugins | 1.3k | — | ~4.5k | Automated safety check: Notes | MIT | |
| Agent Readiness Auditmohitagw15856/pm-claude-skills | 1.4k | — | ~1.4k | Automated safety check: Pass | MIT |
swyxio/skills
Add or review developer- and AI-facing conference data endpoints such as llms.txt, sessions.json, speakers.json, or MCP routes for AI Engineer conference pages.
Canonry/canonry
Navigate Canonry through connected MCP tools or the cnry CLI to inspect evidence, diagnose changes, plan measurement, review integrations, and report results.
indranilbanerjee/digital-marketing-pro
Set up and run keyword ranking monitoring — baseline capture, scheduled position checks against GSC and connected rank-tracker MCPs, and severity-tiered alerts (minor/major/critical) on drops…
hashgraph-online/awesome-codex-plugins
Live SEO data via DataForSEO API credentials. An agent skill from hashgraph-online/awesome-codex-plugins.
mohitagw15856/pm-claude-skills
Audit whether AI agents can actually use your product — docs, APIs, onboarding, errors, and discoverability, evaluated from a non-human user's perspective.
cablate/mcp-google-map
Search places, resolve addresses, compare routes, inspect neighborhoods, and retrieve geographic or environmental facts through the standalone @cablate/mcp-google-map CLI.
sickn33/agentic-awesome-skills
Implements an interface in one of two named color modes, iridescent white or colorful black, from a parameterized starter that reports measured color intensity.
sickn33/agentic-awesome-skills
Saves a user's project decisions, rules and preferences into a project-local mdbase so later sessions and other agents can recover the intent.
sickn33/agentic-awesome-skills
Keeps project decisions, research and verified results available across coding-agent sessions through LWC memory, a document Wiki graph and a CodeGraph code index.
sickn33/agentic-awesome-skills
Guides an agent through assessing its own owner for cofounder fit, publishing an approved profile, and ranking complementary profiles other agents published for their owners.
sickn33/agentic-awesome-skills
Integracao com WhatsApp Business Cloud API (Meta). An agent skill from sickn33/agentic-awesome-skills.
sickn33/agentic-awesome-skills
Acts as a proxy for the Cline CLI, dispatching coding tasks one at a time, monitoring runs by hard evidence, relaying decisions to you and learning per-project preferences.
Works with
Categories
Work a site's SEO and AI-visibility (GEO) backlog through the hosted LogNorm MCP server: audits, fixes, content, AI-answer tracking. Lognorm is an agent skill from sickn33/agentic-awesome-skills. Work a site's SEO and AI-visibility (GEO) backlog through the hosted LogNorm MCP server: audits, fixes, content, AI-answer tracking.
Lognorm fits situations like: tasks that involve AI search optimization; tasks that involve MCP servers.
Run `npx skills add sickn33/agentic-awesome-skills --skill lognorm -a claude-code`. Or copy the skill folder (skills/lognorm in sickn33/agentic-awesome-skills) into .claude/skills/lognorm in your project. Claude Code loads it when a task matches its description.
Run `npx skills add sickn33/agentic-awesome-skills --skill lognorm -a codex`. Or copy the skill folder (skills/lognorm in sickn33/agentic-awesome-skills) into .agents/skills/lognorm 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 sickn33/agentic-awesome-skills --skill lognorm -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/lognorm, .gemini/skills/lognorm, .github/skills/lognorm and .opencode/skills/lognorm in your project.
Going by SKILL.md and its folder, Lognorm needs the command-line tools its instructions call (codex and claude).
SKILL.md names 1 domain. In commands or code: lognorm.com; the agent is likely to contact it when it follows the instructions. 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.
Lognorm is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.4k tokens (SKILL.md is roughly 5.4k 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 1.7k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Lognorm: Conference Developer Endpoints (swyxio/skills, 175 stars), Canonry (Canonry/canonry, 171 stars), Rank Monitor (indranilbanerjee/digital-marketing-pro, 859 stars) and SEO Dataforseo (hashgraph-online/awesome-codex-plugins, 1.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,379 GitHub stars. The repository holds 1,493 skills in this directory. The repository was last updated on October 9, 2026.
Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.