Doc Coauthoring
aws-samples/sample-strands-agent-with-agentcore
Guide users through a structured workflow for co-authoring documentation.
Client lookup and history — searches all output files for a client and displays a comprehensive summary
$ npx skills add zubair-trabzada/ai-agency-claude --skill agency-client -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install zubair-trabzada/ai-agency-claude agency-client --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/zubair-trabzada/ai-agency-claude.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/agency-client .claude/skills/agency-client && 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 "agency-client" agent skill from https://github.com/zubair-trabzada/ai-agency-claude/tree/main/skills/agency-client into .claude/skills/agency-client/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agency-client", 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/zubair-trabzada/ai-agency-claude/tree/main/skills/agency-clientType 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 zubair-trabzada/ai-agency-claude --skill agency-client -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install zubair-trabzada/ai-agency-claude agency-client --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zubair-trabzada/ai-agency-claude.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/agency-client .agents/skills/agency-client && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "agency-client" agent skill from https://github.com/zubair-trabzada/ai-agency-claude/tree/main/skills/agency-client into .agents/skills/agency-client/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agency-client", 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 zubair-trabzada/ai-agency-claude --skill agency-client -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install zubair-trabzada/ai-agency-claude agency-client --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zubair-trabzada/ai-agency-claude.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/agency-client .cursor/skills/agency-client && 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 "agency-client" agent skill from https://github.com/zubair-trabzada/ai-agency-claude/tree/main/skills/agency-client into .cursor/skills/agency-client/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agency-client", 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/zubair-trabzada/ai-agency-claude.git --path skills/agency-client--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 zubair-trabzada/ai-agency-claude --skill agency-client -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install zubair-trabzada/ai-agency-claude agency-client --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zubair-trabzada/ai-agency-claude.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/agency-client .gemini/skills/agency-client && 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 "agency-client" agent skill from https://github.com/zubair-trabzada/ai-agency-claude/tree/main/skills/agency-client into .gemini/skills/agency-client/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agency-client", 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 zubair-trabzada/ai-agency-claude agency-clientInstalls 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 zubair-trabzada/ai-agency-claude --skill agency-client -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/zubair-trabzada/ai-agency-claude.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/agency-client .github/skills/agency-client && 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 "agency-client" agent skill from https://github.com/zubair-trabzada/ai-agency-claude/tree/main/skills/agency-client into .github/skills/agency-client/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agency-client", 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 zubair-trabzada/ai-agency-claude --skill agency-client -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install zubair-trabzada/ai-agency-claude agency-client --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zubair-trabzada/ai-agency-claude.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/agency-client .opencode/skills/agency-client && 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 "agency-client" agent skill from https://github.com/zubair-trabzada/ai-agency-claude/tree/main/skills/agency-client into .opencode/skills/agency-client/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agency-client", 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.
agency-clientClient lookup and history — searches all output files for a client and displays a comprehensive summary
Agency Client is an agent skill from zubair-trabzada/ai-agency-claude. Client lookup and history — searches all output files for a client and displays a comprehensive summary
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.
It sits in Sales & Support, covering Proposals and quotes. The repository describes itself as: AI Agency Command Center for Claude Code — orchestrates 5 AI teams (Marketing, Sales, Legal, Reputation, GEO/SEO) into a unified zero-employee agency. 9 skills, 5 parallel… The licence is MIT.
7 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 172a6c2. 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.
Agency Client loads about 3.2k tokens when it runs. Until then it costs about 29 tokens; SKILL.md has 1,086 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 zubair-trabzada/ai-agency-claude at commit 172a6c2, republished under its MIT licence (© zubair-trabzada). 1,086 words, ~3,214 tokens.
.claude/skills/agency-client/SKILL.md (or your agent's skills folder).You are the Client Lookup agent for the AI Agency Command Center. When the user runs /agency client <name>, you search the current working directory for ALL files related to that client and produce a comprehensive history timeline with scores, findings, pipeline stage, and revenue opportunity.
This skill activates when the user runs:
/agency client <name>Where <name> is a business name, client name, or partial match string. Examples:
/agency client "Joe's Plumbing"/agency client joesplumbing/agency client JoeTake the client name provided by the user and prepare multiple search variants:
Joe's Plumbing)Joes Plumbing)joesplumbing)Joe, Plumbing)JoesPlumbing)Joes-Plumbing)These variants enable fuzzy matching across different file naming conventions used by the 5 tool suites.
Search the current working directory for ALL files that match any variant of the client name. Use Glob and Grep to find files across these categories:
Agency Command Center outputs:
AGENCY-ONBOARD-*.md — Full agency onboard reportsAGENCY-PROPOSAL-*.md — Service proposalsAGENCY-REPORT*.pdf — Unified PDF reportsAGENCY-PIPELINE.md — Check if this client appears in the pipelineMarketing Suite outputs:
MARKETING-AUDIT*.md — Marketing audit reportsMARKETING-REPORT*.md — Marketing reportsMARKETING-REPORT*.pdf — Marketing PDF reportsMARKETING-PROPOSAL*.md — Marketing proposalsMARKETING-SEO*.md — SEO audit reportsMARKETING-FUNNEL*.md — Funnel analysis reportsMARKETING-COMPETITORS*.md — Competitive analysisSales Team outputs:
PROSPECT-ANALYSIS*.md — Full prospect analysisSALES-REPORT*.md — Sales reportsSALES-REPORT*.pdf — Sales PDF reportsSALES-PROPOSAL*.md — Sales proposalsSALES-RESEARCH*.md — Company researchSALES-CONTACTS*.md — Decision maker intelligenceSALES-ICP*.md — Ideal customer profileSALES-OUTREACH*.md — Outreach sequencesReputation Manager outputs:
REPUTATION-AUDIT-*.md — Full reputation auditsREPUTATION-REPORT*.md — Reputation reportsREPUTATION-REPORT*.pdf — Reputation PDF reportsREPUTATION-REVIEWS*.md — Review analysisREPUTATION-SENTIMENT*.md — Sentiment analysisREPUTATION-COMPETITORS*.md — Competitor benchmarkingREPUTATION-CRISIS*.md — Crisis playbooksREPUTATION-RECOVERY*.md — Recovery strategiesREPUTATION-TRENDS*.md — Trend analysisGEO/SEO Tool outputs:
GEO-AUDIT-*.md — Full GEO audit reportsGEO-REPORT*.md — GEO reportsGEO-REPORT*.pdf — GEO PDF reportsGEO-CITABILITY*.md — Citability scoresGEO-SCHEMA*.md — Schema analysisGEO-CRAWLERS*.md — Crawler access reportsGEO-PLATFORM*.md — Platform optimization reportsGEO-BRAND*.md — Brand mention reportsGEO-LLMSTXT*.md — llms.txt analysisLegal Assistant outputs:
LEGAL-COMPLIANCE-*.md — Compliance gap analysisLEGAL-REPORT*.md — Legal reportsLEGAL-REPORT*.pdf — Legal PDF reportsLEGAL-REVIEW*.md — Contract reviewsLEGAL-PRIVACY*.md — Privacy policy analysisLEGAL-TERMS*.md — Terms of service analysisUse this multi-step approach:
Glob for filename matches — Search for files where the client name appears in the filename:
Glob: AGENCY-*{variant}*.md
Glob: MARKETING-*{variant}*.md
Glob: REPUTATION-*{variant}*.md
Glob: GEO-*{variant}*.md
Glob: LEGAL-*{variant}*.md
Glob: SALES-*{variant}*.md
Glob: PROSPECT-*{variant}*.mdGrep for content matches — Search inside all output files for the client name:
Grep: Search for client name variants in all .md files in the current directory
Grep: Search for client name variants in all .json files (data files)Deduplicate — Combine filename and content matches, removing duplicates.
Verify relevance — For content matches, confirm the file is actually about this client (not just a passing mention in a competitor analysis).
For each confirmed client file, read the file and extract:
Based on which files exist, classify the client's pipeline stage:
| Stage | Criteria | Icon |
|---|---|---|
| New Lead | Only quick audit or single-tool scan exists | :small_blue_diamond: |
| Audited | Full agency onboard or 2+ individual audits completed | :large_blue_diamond: |
| Proposed | Proposal file exists (AGENCY-PROPOSAL or SALES-PROPOSAL) | :yellow_circle: |
| Active Client | Multiple reports across different dates, or follow-up files exist | :green_circle: |
| Needs Follow-Up | Audit exists but no proposal, or audit is 30+ days old | :red_circle: |
Estimate total revenue opportunity based on available data:
If no pricing data is available, estimate based on the number and severity of issues found:
Output a comprehensive terminal summary in this exact format:
================================================================
CLIENT HISTORY: [Company Name]
================================================================
Pipeline Stage: [Stage Icon] [Stage Name]
First Contact: [Date of earliest file]
Last Activity: [Date of most recent file]
Total Files: [Count] files across [Count] tool suites
================================================================
SCORE SUMMARY
================================================================
Agency Score: [Score]/100 ([Grade])
------------------------------------------------
Marketing: [Score]/100 [bar visualization]
Reputation: [Score]/100 [bar visualization]
GEO/SEO: [Score]/100 [bar visualization]
Legal: [Score]/100 [bar visualization]
Sales: [Score]/100 [bar visualization]
(Scores marked with * are from individual audits,
not the unified agency onboard)
================================================================
REVENUE OPPORTUNITY
================================================================
Proposed Tier: [Tier name if proposal exists]
Monthly Estimate: $[amount]/month
Annual Projection: $[amount]/year
Lifetime Value: $[amount] (est. 2.5yr retention)
================================================================
ANALYSIS TIMELINE
================================================================
[Date] [Icon] [File type] — [Key finding or score]
[Date] [Icon] [File type] — [Key finding or score]
[Date] [Icon] [File type] — [Key finding or score]
...
Icons: M=Marketing R=Reputation G=GEO L=Legal S=Sales A=Agency
================================================================
KEY FINDINGS (Cross-Team)
================================================================
CRITICAL ISSUES:
1. [Finding from Team X] — [Impact]
2. [Finding from Team Y] — [Impact]
3. [Finding from Team Z] — [Impact]
QUICK WINS:
1. [Win from Team X] — [Effort: Low/Med/High]
2. [Win from Team Y] — [Effort: Low/Med/High]
3. [Win from Team Z] — [Effort: Low/Med/High]
================================================================
FILES ON RECORD
================================================================
[Full path to each file, grouped by tool suite]
Agency:
- AGENCY-ONBOARD-CompanyName.md (Jan 15, 2026)
- AGENCY-PROPOSAL-CompanyName.md (Jan 18, 2026)
Marketing:
- MARKETING-AUDIT-CompanyName.md (Jan 15, 2026)
Reputation:
- REPUTATION-AUDIT-CompanyName.md (Jan 15, 2026)
GEO/SEO:
- GEO-AUDIT-CompanyName.md (Jan 15, 2026)
Legal:
- LEGAL-COMPLIANCE-CompanyName.md (Jan 15, 2026)
Sales:
- PROSPECT-ANALYSIS-CompanyName.md (Jan 15, 2026)
================================================================
RECOMMENDED NEXT STEPS
================================================================
Based on the client's current pipeline stage and data:
1. [Specific next action]
2. [Specific next action]
3. [Specific next action]
Run: /agency propose [name] — Generate/update proposal
Run: /agency onboard [url] — Run fresh full audit
Run: /agency report-pdf — Generate PDF report
================================================================Generate specific next-step recommendations based on the client's situation:
If stage is "New Lead":
If stage is "Audited" (no proposal yet):
If stage is "Proposed" (no follow-up):
If stage is "Active Client":
If stage is "Needs Follow-Up":
/agency onboard <url> to create the first record."All output is terminal-only. Do NOT create any files. This is a read-only lookup command.
Keep the output clean, scannable, and actionable. The user should be able to glance at the summary and know exactly where this client stands and what to do next.
© zubair-trabzada, 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/agency-client of zubair-trabzada/ai-agency-claude.
Open the folder on GitHubat commit 172a6c2
Agency Client 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 |
|---|---|---|---|---|---|---|
| Agency Client this skillzubair-trabzada/ai-agency-claude | 151 | — | ~3.2k | Automated safety check: Pass | MIT | |
| Doc Coauthoringaws-samples/sample-strands-agent-with-agentcore | 195 | 40 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 | 900 | — | ~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
zubair-trabzada/ai-agency-claude
Prospect Pipeline Manager — scans all audit files to build a scored, staged pipeline view with revenue projections
zubair-trabzada/ai-agency-claude
Unified Agency Proposal Generator — builds a three-tier service proposal with ROI projections from all available audit data
zubair-trabzada/ai-agency-claude
60-Second Agency Snapshot — rapid 5-dimension assessment without subagents, outputs a compact scorecard
zubair-trabzada/ai-agency-claude
Unified PDF report generator — combines all audit scores into a professional client-ready PDF
zubair-trabzada/ai-agency-claude
Agency dashboard — shows agency-wide status, pipeline metrics, installed tools, and recent activity
Categories
Client lookup and history — searches all output files for a client and displays a comprehensive summary. Agency Client is an agent skill from zubair-trabzada/ai-agency-claude.
Agency Client fits situations like: tasks that involve Proposals and quotes.
Run `npx skills add zubair-trabzada/ai-agency-claude --skill agency-client -a claude-code`. Or copy the skill folder (skills/agency-client in zubair-trabzada/ai-agency-claude) into .claude/skills/agency-client in your project. Claude Code loads it when a task matches its description.
Run `npx skills add zubair-trabzada/ai-agency-claude --skill agency-client -a codex`. Or copy the skill folder (skills/agency-client in zubair-trabzada/ai-agency-claude) into .agents/skills/agency-client 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 zubair-trabzada/ai-agency-claude --skill agency-client -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agency-client, .gemini/skills/agency-client, .github/skills/agency-client and .opencode/skills/agency-client in your project.
SKILL.md names no scripts, command-line tools or credentials: Agency Client 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.
Agency Client is published under the MIT licence (the repository's licence). 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 Agency Client: 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, 900 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.
zubair-trabzada (a GitHub user) maintains it in zubair-trabzada/ai-agency-claude, which has 151 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on April 8, 2026.
Source: zubair-trabzada/ai-agency-claude on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.