Doc Coauthoring
aws-samples/sample-strands-agent-with-agentcore
Guide users through a structured workflow for co-authoring documentation.
Auto-generate a professional, client-ready GEO service proposal from audit data.
$ npx skills add sickn33/agentic-awesome-skills --skill geo-proposal -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sickn33/agentic-awesome-skills geo-proposal --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/geo-proposal .claude/skills/geo-proposal && 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 "geo-proposal" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/geo-proposal into .claude/skills/geo-proposal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "geo-proposal", 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/geo-proposalType 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 geo-proposal -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sickn33/agentic-awesome-skills geo-proposal --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/geo-proposal .agents/skills/geo-proposal && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "geo-proposal" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/geo-proposal into .agents/skills/geo-proposal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "geo-proposal", 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 geo-proposal -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sickn33/agentic-awesome-skills geo-proposal --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/geo-proposal .cursor/skills/geo-proposal && 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 "geo-proposal" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/geo-proposal into .cursor/skills/geo-proposal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "geo-proposal", 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/geo-proposal--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 geo-proposal -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sickn33/agentic-awesome-skills geo-proposal --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/geo-proposal .gemini/skills/geo-proposal && 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 "geo-proposal" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/geo-proposal into .gemini/skills/geo-proposal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "geo-proposal", 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 geo-proposalInstalls 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 geo-proposal -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/geo-proposal .github/skills/geo-proposal && 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 "geo-proposal" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/geo-proposal into .github/skills/geo-proposal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "geo-proposal", 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 geo-proposal -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 geo-proposal --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/geo-proposal .opencode/skills/geo-proposal && 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 "geo-proposal" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/geo-proposal into .opencode/skills/geo-proposal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "geo-proposal", 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.
geo-proposalAuto-generate a professional, client-ready GEO service proposal from audit data.
Geo Proposal is an agent skill from sickn33/agentic-awesome-skills. Auto-generate a professional, client-ready GEO service proposal from audit data.
Its SKILL.md is about 3.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Docs-only; upstream helper scripts and templates are not bundled. Site audits need network access to the target site; PDF reports need pandoc and headless…
It sits in Sales & Support, covering Proposals and quotes. 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.
3 steps, taken from the step headings 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 these tools, so the agent can use them without asking each time:
ReadWriteBashGlobWebFetchFrom allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
curlFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
github.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.
Docs-only; upstream helper scripts and templates are not bundled. Site audits need network access to the target site; PDF reports need pandoc and headless Chrome.
From compatibility in the SKILL.md frontmatter.
Geo Proposal loads about 3.2k tokens when it runs. Until then it costs about 23 tokens; SKILL.md has 353 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 noted patterns worth knowing about, such as sudo or a known installer.
allowed-tools: Read, Write, Bash, Glob, WebFetchAutomated 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). 353 words, ~3,235 tokens.
.claude/skills/geo-proposal/SKILL.md (or your agent's skills folder).Generate a fully customized, client-ready GEO service proposal that:
/geo proposal <domain-or-audit-file> [--tier basic|standard|premium] [--client-name "Name"] [--monthly EUR]Examples:
/geo proposal electron-srl.com
/geo proposal electron-srl.com --tier standard --client-name "Electron Srl"
/geo proposal ~/.geo-prospects/audits/electron-srl.com-2026-03-12.md~/.geo-prospects/audits/<domain>*.md exists/geo quick <domain> firstAuto-fill proposal template with:
Output to ~/.geo-prospects/proposals/<domain>-proposal-<date>.md
Also update prospect record if it exists in ~/.geo-prospects/prospects.json
Generate the following document, filling all [PLACEHOLDERS] with real audit data:
# GEO Optimization Proposal
## [COMPANY NAME] — AI Search Visibility
**Prepared by:** [YOUR AGENCY NAME]
**Prepared for:** [CONTACT NAME], [COMPANY NAME]
**Date:** [DATE]
**Valid until:** [DATE + 30 DAYS]
**Reference:** GEO-PROP-[YYMMDD]-[DOMAIN]
---
## Executive Summary
[COMPANY NAME] operates in [INDUSTRY] and serves customers across [GEOGRAPHY].
Our GEO audit of [DOMAIN], conducted on [DATE], reveals a GEO Readiness Score
of **[SCORE]/100 ([TIER LABEL])**.
This means your website currently has [TIER DESCRIPTION — use score interpretation table].
As AI-powered search (ChatGPT, Google AI Overviews, Perplexity) now influences
**[X]% of online discovery** and is growing at 527% year-over-year, this gap
represents a measurable risk to your pipeline.
The three most urgent issues are:
1. **[CRITICAL FINDING 1]** — [Business impact in one sentence]
2. **[CRITICAL FINDING 2]** — [Business impact in one sentence]
3. **[CRITICAL FINDING 3]** — [Business impact in one sentence]
We recommend the **[TIER NAME] package** at **€[PRICE]/month**, which addresses
all critical issues within 90 days and positions [COMPANY] as an AI-visible
authority in [INDUSTRY].
---
## The Opportunity: Why GEO Matters for [COMPANY NAME]
### The AI Search Shift Is Already Happening
| Metric | Value |
|--------|-------|
| AI-referred traffic growth (2025) | +527% YoY |
| AI traffic conversion vs. organic | 4.4x higher |
| ChatGPT weekly active users | 900M+ |
| Google AI Overviews monthly reach | 1.5B users, 200+ countries |
| Gartner: traditional search traffic drop by 2028 | -50% |
| Marketers investing in GEO today | Only 23% |
**First-mover advantage is real.** Companies that invest in GEO now will
capture the AI search channel before competitors do.
### Your Current Position
| Metric | [COMPANY] | Industry Average | Top Performers |
|--------|-----------|------------------|----------------|
| GEO Score | [SCORE]/100 | 45/100 | 75+/100 |
| AI Crawlers Allowed | [X]/14 | 8/14 | 14/14 |
| Brand Mentions (AI platforms) | [STATUS] | Moderate | High |
| Schema Coverage | [STATUS] | Partial | Complete |
| llms.txt | [Yes/No] | 12% have it | 78% have it |
---
## Audit Findings Summary
### GEO Score Breakdown
| Category | Your Score | Weight | Weighted | Priority |
|----------|-----------|--------|---------|----------|
| AI Citability & Visibility | [SCORE]/100 | 25% | [WEIGHTED] | [HIGH/MED/LOW] |
| Brand Authority Signals | [SCORE]/100 | 20% | [WEIGHTED] | [HIGH/MED/LOW] |
| Content Quality & E-E-A-T | [SCORE]/100 | 20% | [WEIGHTED] | [HIGH/MED/LOW] |
| Technical Foundations | [SCORE]/100 | 15% | [WEIGHTED] | [HIGH/MED/LOW] |
| Structured Data | [SCORE]/100 | 10% | [WEIGHTED] | [HIGH/MED/LOW] |
| Platform Optimization | [SCORE]/100 | 10% | [WEIGHTED] | [HIGH/MED/LOW] |
| **TOTAL GEO SCORE** | | | **[SCORE]/100** | **[TIER]** |
### Critical Issues Found
[For each critical issue from audit:]
#### 🔴 [ISSUE TITLE]
**What we found:** [Technical finding in plain language]
**Business impact:** [What this means for their revenue/visibility]
**Our fix:** [What we will do to resolve it]
**Timeline:** [When they will see improvement]
---
## Our Solution: Service Packages
We offer three engagement models based on the scope of optimization needed.
---
### BASIC — €2,500/month
*Best for: Sites with score 61-75 needing targeted improvements*
**What's included:**
- Quarterly full GEO audit (4x/year)
- Quarterly client report with score tracking
- Schema.org implementation (Organization + key page schemas)
- AI crawler access optimization (robots.txt)
- llms.txt creation and maintenance
- Email support (48-hour response)
**Estimated GEO score improvement:** +10-20 points in 6 months
**Contract:** Minimum 6 months
---
### STANDARD — €5,000/month ⭐ Recommended for [COMPANY]
*Best for: Sites with score 40-60 needing structured monthly work*
**Everything in Basic, plus:**
- Monthly full GEO audit + delta report
- Monthly strategy call (60 minutes)
- Content citability optimization (up to 10 pages/month)
- Brand authority building (Wikipedia, Wikidata, LinkedIn optimization)
- Platform-specific optimization (Google AIO, ChatGPT, Perplexity)
- E-E-A-T improvements (author pages, credentials, freshness signals)
- Slack channel for fast communication (24-hour response)
**Estimated GEO score improvement:** +25-40 points in 6 months
**Contract:** Minimum 6 months
---
### PREMIUM — €9,500/month
*Best for: Sites with score 0-40 with critical issues, or competitive industries*
**Everything in Standard, plus:**
- Bi-weekly strategy calls
- Technical SEO implementation support (Core Web Vitals, SSR, speed)
- Full content strategy + production (4 optimized articles/month)
- Active brand building (Reddit, YouTube, industry citations)
- Competitor monitoring and response
- Dedicated account manager
- Priority support (4-hour response)
**Estimated GEO score improvement:** +40-60 points in 6 months
**Contract:** Minimum 12 months
---
## ROI Projection for [COMPANY NAME]
Based on your current GEO score of [SCORE]/100 and industry benchmarks:
| Scenario | 6-Month Score | AI Traffic Increase | Est. Additional Value/Month |
|----------|--------------|--------------------|-----------------------------|
| No action | [SCORE + 2]/100 | +5% (organic growth) | €[LOW] |
| Basic package | [SCORE + 15]/100 | +30-40% | €[MED] |
| Standard package | [SCORE + 32]/100 | +60-90% | €[HIGH] |
| Premium package | [SCORE + 50]/100 | +100-150% | €[VERY HIGH] |
**Assumptions:**
- Based on estimated [X] monthly organic visitors to [DOMAIN]
- AI search is projected to drive 25-40% of organic discovery by end of 2026
- AI-referred traffic converts at 4.4x the rate of regular organic traffic
- Calculations use conservative estimates — actual results may vary
**Payback period (Standard package):** [X] months based on current traffic
---
## Engagement Timeline
### Month 1 — Foundation
- Kick-off call and onboarding (Week 1)
- Full technical audit + baseline metrics capture
- Quick wins implementation: robots.txt, schema, llms.txt, meta descriptions
- Expected score improvement: +5-10 points
### Month 2-3 — Optimization
- Content citability rewrites (top 10 pages)
- E-E-A-T improvements: author pages, credentials, dates
- Platform-specific optimization (Google AIO, ChatGPT, Perplexity)
- Brand presence: LinkedIn, Wikipedia/Wikidata groundwork
- Expected score improvement: +15-25 points cumulative
### Month 4-6 — Authority Building
- Brand mention campaigns (Reddit, industry sites, YouTube)
- Topical authority content strategy
- Monthly reports showing score improvements
- Expected score improvement: +30-45 points cumulative
### Month 6 — Review
- Full re-audit with before/after comparison
- ROI report
- Renewal discussion
---
## Why Us
- **GEO specialists**: We focus exclusively on AI search optimization, not traditional SEO agencies adapting to GEO
- **Transparent reporting**: Monthly reports show exactly what changed and why
- **No lock-in beyond minimum**: Month-to-month after initial commitment
- **Proven methodology**: 11-dimension GEO audit covering all major AI platforms
- **Fast results**: Quick wins visible within 30 days
---
## Investment Summary
| Package | Monthly | 6-Month | 12-Month |
|---------|---------|---------|----------|
| Basic | €2,500 | €15,000 | €30,000 |
| Standard | €5,000 | €30,000 | €60,000 |
| Premium | €9,500 | €57,000 | €114,000 |
*All prices exclude VAT. Payment terms: monthly, due within 15 days of invoice.*
---
## Next Steps
To move forward:
1. **Review this proposal** and share any questions
2. **Schedule a 30-minute call** to walk through findings together: [CALENDAR LINK]
3. **Sign the service agreement** (sent separately upon acceptance)
4. **Kick-off call** scheduled for your chosen start date
This proposal is valid for **30 days** from the date above.
---
## Terms & Conditions
- **Minimum commitment:** As stated per package above
- **Cancellation:** 30-day written notice after minimum term
- **Confidentiality:** All audit findings and client data are strictly confidential
- **Results:** We guarantee effort and methodology, not specific ranking outcomes
- **Reporting:** Monthly reports delivered by the 5th of each month
- **Access needed:** Read access to Google Analytics / Search Console (if available)
---
*This proposal was prepared using GEO-SEO analysis tools and reflects findings
from the audit of [DOMAIN] conducted on [DATE]. All scores and recommendations
are based on current industry best practices for Generative Engine Optimization.*~/.geo-prospects/proposals/<domain>-proposal-<date>.mdstatus to proposal, save proposal_file path✓ Proposal generated: ~/.geo-prospects/proposals/electron-srl.com-proposal-2026-03-12.md
✓ Prospect status updated: Qualified → Proposal
✓ Recommended package: STANDARD (€5,000/month) — Score 32/100
Next: Share the proposal file or run `/geo report-pdf` for a visual version.Base recommendation on GEO score:
curl -s https://example.com/robots.txt
curl -s https://example.com/llms.txtAdapted from zubair-trabzada/geo-seo-claude (MIT); frontmatter, When to Use/Limitations, and safety boundaries added for upstream compliance. Docs-only import: upstream runtime helpers not bundled.
© sickn33, 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 skills/geo-proposal of sickn33/agentic-awesome-skills.
Open the folder on GitHubat commit 680176d
We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.
Geo Proposal 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 |
|---|---|---|---|---|---|---|
| Geo Proposal this skillsickn33/agentic-awesome-skills | 47k | 1 repos | ~3.2k | Automated safety check: Notes | MIT | |
| Doc Coauthoringaws-samples/sample-strands-agent-with-agentcore | 195 | 41 repos | ~3.2k | Automated safety check: Pass | MIT | |
| Audit Onboarding Proposalhoangnb24/repository-harness | 1.2k | — | ~4k | Automated safety check: Pass | MIT | |
| No Negative EchoLB623/no-negative-echo | 897 | — | ~965 | Automated safety check: Pass | MIT | |
| GEO Service Proposal Generatorzubair-trabzada/geo-seo-claude | 11k | — | ~3k | Automated safety check: Notes | MIT | |
| Architectural ProposalsFritzAndFriends/SharpSite | 145 | 2 repos | ~1.6k | Automated safety check: Pass | MIT |
aws-samples/sample-strands-agent-with-agentcore
Guide users through a structured workflow for co-authoring documentation.
hoangnb24/repository-harness
Use only when the user explicitly invokes $audit-onboarding-proposal.
LB623/no-negative-echo
Prevent 此地无银三百两式 residue: finalize artifacts without echoing rejected session-only alternatives into labels, metadata, commits, PRs, or handoffs.
zubair-trabzada/geo-seo-claude
Builds a client-ready AI-search-optimization proposal from an existing GEO audit, with pricing tiers, an ROI estimate and a markdown document ready to send.
FritzAndFriends/SharpSite
How to write comprehensive architectural proposals that drive alignment before code is written
zubair-trabzada/ai-legal-claude
Generates specific counter-proposals for every unfavorable clause, with replacement language, negotiation talking points, and a ready-to-send email template
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.
Categories
Auto-generate a professional, client-ready GEO service proposal from audit data. Geo Proposal is an agent skill from sickn33/agentic-awesome-skills. Auto-generate a professional, client-ready GEO service proposal from audit data.
Geo Proposal fits situations like: tasks that involve Proposals and quotes.
Run `npx skills add sickn33/agentic-awesome-skills --skill geo-proposal -a claude-code`. Or copy the skill folder (skills/geo-proposal in sickn33/agentic-awesome-skills) into .claude/skills/geo-proposal in your project. Claude Code loads it when a task matches its description.
Run `npx skills add sickn33/agentic-awesome-skills --skill geo-proposal -a codex`. Or copy the skill folder (skills/geo-proposal in sickn33/agentic-awesome-skills) into .agents/skills/geo-proposal 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 geo-proposal -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/geo-proposal, .gemini/skills/geo-proposal, .github/skills/geo-proposal and .opencode/skills/geo-proposal in your project.
Going by SKILL.md and its folder, Geo Proposal needs the command-line tools its instructions call (curl). Its frontmatter pre-approves these tools: Read, Write, Bash, Glob, WebFetch. Compatibility (from SKILL.md): Docs-only; upstream helper scripts and templates are not bundled. Site audits need network access to the target site; PDF reports need pandoc and headless Chrome..
SKILL.md names 1 domain. As links in the text: github.com. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Geo Proposal is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.2k tokens (SKILL.md is roughly 13k 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 Geo Proposal: Doc Coauthoring (aws-samples/sample-strands-agent-with-agentcore, 195 stars), Audit Onboarding Proposal (hoangnb24/repository-harness, 1.2k stars), No Negative Echo (LB623/no-negative-echo, 897 stars) and GEO Service Proposal Generator (zubair-trabzada/geo-seo-claude, 11k 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.