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Agent skill

Agency Status

by zubair-trabzada in zubair-trabzada/ai-agency-claude

Agency dashboard — shows agency-wide status, pipeline metrics, installed tools, and recent activity

MITAuto-check passedSales & Support

Install Agency Status

skills CLI
$ npx skills add zubair-trabzada/ai-agency-claude --skill agency-status -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install zubair-trabzada/ai-agency-claude agency-status --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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-status .claude/skills/agency-status && rm -rf skills-src

Use ~/.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/

Facts

Skill name
agency-status
GitHub stars
151
Token cost
~2.9k tokens
SKILL.md length
809 words
Files
1
Skills in repo
6
Repo updated
First seen
Licence
MIT

At a glance

Agency dashboard — shows agency-wide status, pipeline metrics, installed tools, and recent activity

  • Works in 6 steps: Scan the Current Directory for All… → Calculate Metrics → Check Installed Tool Suites → …
  • Tasks that involve Proposals and quotes
  • SKILL.md covers Trigger, Step 1 — Scan the Current…, Step 2 — Calculate Metrics and Step 3 — Check Installed Tool…, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Agency Status is an agent skill from zubair-trabzada/ai-agency-claude. Agency dashboard — shows agency-wide status, pipeline metrics, installed tools, and recent activity

Its SKILL.md is about 2.9k 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.

When your agent uses it

  • Tasks that involve Proposals and quotes

Example prompts

  • “/agency-status”

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Scan the Current Directory for All Output Files
  2. Calculate Metrics
  3. Check Installed Tool Suites
  4. Identify Follow-Up Items
  5. Display the Dashboard
  6. Handle Edge Cases

What it can do on your machine

Read from SKILL.md and the folder at commit 172a6c2. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Agency Status loads about 2.9k tokens when it runs. Until then it costs about 28 tokens; SKILL.md has 809 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~28
When it runs · the whole SKILL.md, loaded when a task matches
~2.9k

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from zubair-trabzada/ai-agency-claude at commit 172a6c2, republished under its MIT licence (© zubair-trabzada). 809 words, ~2,920 tokens.

Download SKILL.mdSave it as .claude/skills/agency-status/SKILL.md (or your agent's skills folder).
name
agency-status
description
Agency dashboard — shows agency-wide status, pipeline metrics, installed tools, and recent activity

Agency Status Dashboard

You are the Agency Status Dashboard for the AI Agency Command Center. When the user runs /agency status, you produce a quick, comprehensive terminal dashboard showing the health of the entire agency operation: prospect counts, proposal metrics, revenue pipeline, tool suite availability, recent activity, and items needing follow-up.

Trigger

This skill activates when the user runs:

/agency status

No arguments required. This command always operates on the current working directory.

Step 1 — Scan the Current Directory for All Output Files

Use Glob to find all output files in the current working directory. Categorize every file found into these buckets:

File Discovery Patterns

Agency-level files:

AGENCY-ONBOARD-*.md       → Full onboard reports (count as "audited prospects")
AGENCY-PROPOSAL-*.md      → Service proposals (count as "proposals sent")
AGENCY-PIPELINE.md        → Pipeline file
AGENCY-REPORT*.pdf        → PDF reports generated

Marketing Suite files:

MARKETING-AUDIT*.md       → Marketing audits
MARKETING-REPORT*.md      → Marketing reports
MARKETING-REPORT*.pdf     → Marketing PDF reports
MARKETING-PROPOSAL*.md    → Marketing-specific proposals
MARKETING-SEO*.md         → SEO audits
MARKETING-FUNNEL*.md      → Funnel analyses
MARKETING-COMPETITORS*.md → Competitive analyses

Sales Team files:

PROSPECT-ANALYSIS*.md     → Prospect analyses
SALES-REPORT*.md          → Sales reports
SALES-REPORT*.pdf         → Sales PDF reports
SALES-PROPOSAL*.md        → Sales proposals
SALES-RESEARCH*.md        → Company research
SALES-CONTACTS*.md        → Decision maker intel
SALES-OUTREACH*.md        → Outreach sequences

Reputation Manager files:

REPUTATION-AUDIT-*.md     → Reputation audits
REPUTATION-REPORT*.md     → Reputation reports
REPUTATION-REPORT*.pdf    → Reputation PDF reports
REPUTATION-REVIEWS*.md    → Review analyses
REPUTATION-SENTIMENT*.md  → Sentiment reports
REPUTATION-COMPETITORS*.md → Competitor benchmarking
REPUTATION-CRISIS*.md     → Crisis playbooks

GEO/SEO Tool files:

GEO-AUDIT-*.md            → GEO audits
GEO-REPORT*.md            → GEO reports
GEO-REPORT*.pdf           → GEO PDF reports
GEO-CITABILITY*.md        → Citability reports
GEO-SCHEMA*.md            → Schema reports
GEO-CRAWLERS*.md          → Crawler reports
GEO-PLATFORM*.md          → Platform reports

Legal Assistant files:

LEGAL-COMPLIANCE-*.md     → Compliance audits
LEGAL-REPORT*.md          → Legal reports
LEGAL-REPORT*.pdf         → Legal PDF reports
LEGAL-REVIEW*.md          → Contract reviews
LEGAL-PRIVACY*.md         → Privacy analyses
LEGAL-TERMS*.md           → Terms analyses

Step 2 — Calculate Metrics

Prospect Metrics

  1. Total prospects audited — Count unique business names from AGENCY-ONBOARD-, REPUTATION-AUDIT-, GEO-AUDIT-, MARKETING-AUDIT, PROSPECT-ANALYSIS*, and LEGAL-COMPLIANCE-* files. Extract the business name from each filename (the part after the prefix). Deduplicate across tool suites.

  2. Proposals sent — Count unique AGENCY-PROPOSAL-* and SALES-PROPOSAL-* files.

  3. Active clients — Businesses with files across multiple dates (indicating ongoing work), or businesses with 3+ different report types.

  4. Conversion rate — (Proposals sent / Total prospects audited) x 100. If there are active clients: (Active clients / Proposals sent) x 100 for close rate.

Revenue Metrics

Scan proposal files to extract pricing data:

  1. Total pipeline value — Sum of all proposed monthly fees across all open proposals x 12 for annual. If no pricing is extractable, estimate based on proposal tier mentions:

    • Tier 1 / Essentials mentions: estimate $1,000/month
    • Tier 2 / Growth mentions: estimate $2,500/month
    • Tier 3 / Full Agency mentions: estimate $5,500/month

  2. Active client revenue — Sum of pricing from clients classified as "active."

  3. Average deal size — Total pipeline value / number of proposals.

Activity Metrics

Use Bash to get file modification dates:

bash
ls -lt *.md *.pdf 2>/dev/null | head -10

Get the 10 most recently modified files with their dates.

Step 3 — Check Installed Tool Suites

Check which of the 5 tool suites are installed by verifying the existence of their SKILL.md files:

~/.claude/skills/market/SKILL.md      → AI Marketing Suite (15 skills)
~/.claude/skills/sales/SKILL.md       → AI Sales Team (14 skills)
~/.claude/skills/legal/SKILL.md       → AI Legal Assistant (14 skills)
~/.claude/skills/reputation/SKILL.md  → AI Reputation Manager (14 skills)
~/.claude/skills/geo/SKILL.md         → GEO/SEO Audit Tool (11 skills)

Use Bash to check each path:

bash
test -f ~/.claude/skills/market/SKILL.md && echo "installed" || echo "missing"

Count total skills available (sum of skill counts for installed suites) and total agents available.

Step 4 — Identify Follow-Up Items

Scan for situations that need attention:

Audits Without Proposals

Find businesses that have an AGENCY-ONBOARD or full audit file but no corresponding AGENCY-PROPOSAL or SALES-PROPOSAL file. These are missed opportunities.

Logic:

  1. Extract business names from all audit files
  2. Extract business names from all proposal files
  3. Find names in audits but NOT in proposals
  4. Flag each as "Audit completed, no proposal sent"
Stale Audits

Find audit files older than 30 days that haven't been followed up:

bash
find . -name "AGENCY-ONBOARD-*.md" -mtime +30 2>/dev/null
find . -name "REPUTATION-AUDIT-*.md" -mtime +30 2>/dev/null
Proposals Without Follow-Up

Find proposals older than 14 days with no subsequent activity for that client.

Low-Score Alerts

Read agency onboard files and flag any with scores below 40 (Grade D or F) as high-opportunity prospects that need aggressive follow-up.

Step 5 — Display the Dashboard

Output the dashboard in this exact format:

================================================================
  AI AGENCY COMMAND CENTER — STATUS DASHBOARD
================================================================
  Date: [Current date]    Working Directory: [pwd]
================================================================

  PIPELINE OVERVIEW
  ----------------------------------------------------------------
  Prospects Audited:     [count]
  Proposals Sent:        [count]
  Active Clients:        [count]
  Audit-to-Proposal:     [percent]%
  Proposal-to-Close:     [percent]%

  REVENUE SUMMARY
  ----------------------------------------------------------------
  Total Pipeline Value:  $[amount]/year  ($[amount]/month)
  Active Client Revenue: $[amount]/year  ($[amount]/month)
  Average Deal Size:     $[amount]/month
  Projected Annual:      $[amount]

  TOOL SUITES
  ----------------------------------------------------------------
  [checkmark/x] AI Marketing Suite      (15 skills)  [installed/missing]
  [checkmark/x] AI Sales Team           (14 skills)  [installed/missing]
  [checkmark/x] AI Legal Assistant      (14 skills)  [installed/missing]
  [checkmark/x] AI Reputation Manager   (14 skills)  [installed/missing]
  [checkmark/x] GEO/SEO Audit Tool      (11 skills)  [installed/missing]
  ----------------------------------------------------------------
  Total: [count]/68 skills available across [count]/5 suites

  RECENT ACTIVITY (Last 10 files)
  ----------------------------------------------------------------
  [Date]  [Filename]                              [Size]
  [Date]  [Filename]                              [Size]
  [Date]  [Filename]                              [Size]
  ...

  NEEDS ATTENTION
  ----------------------------------------------------------------
  [warning icon] [Count] audits without proposals
     - [Business Name] — Audited [date], no proposal
     - [Business Name] — Audited [date], no proposal

  [warning icon] [Count] stale audits (30+ days old)
     - [Business Name] — Last audit [date] ([days] days ago)

  [warning icon] [Count] proposals pending follow-up (14+ days)
     - [Business Name] — Proposed [date] ([days] days ago)

  [fire icon] [Count] high-opportunity prospects (score < 40)
     - [Business Name] — Agency Score: [score] (Grade [grade])

================================================================
  QUICK COMMANDS
================================================================
  /agency onboard <url>    Run full audit on a new prospect
  /agency propose <name>   Generate proposal for audited prospect
  /agency client <name>    Look up specific client history
  /agency pipeline         View full pipeline with scores
  /agency report-pdf       Generate PDF for current directory
  /agency stack            Check tool suite installation status
================================================================
Show full SKILL.md (320 more words)Show less

Step 6 — Handle Edge Cases

Empty Directory (No Output Files)

If no output files are found at all:

================================================================
  AI AGENCY COMMAND CENTER — STATUS DASHBOARD
================================================================

  No agency output files found in the current directory.

  Get started:
    /agency onboard <url>   — Audit your first prospect
    /agency quick <url>     — Quick 60-second snapshot
    /agency stack           — Check which tools are installed

================================================================
Partial Data
  • If revenue data cannot be extracted from proposals, show "Revenue data unavailable — add pricing to proposals"
  • If file dates cannot be determined, show "Date unknown" rather than omitting entries
  • If only some tool suites have output files, show the ones that exist and note which suites haven't been used yet
Large Number of Files
  • If there are more than 50 output files, still count all of them but only show the 10 most recent in the activity list
  • Add a note: "[X] additional files not shown. Run /agency pipeline for complete view."

Output Format

All output is terminal-only. Do NOT create any files. This is a read-only status command.

The dashboard should render in under 5 seconds. Prioritize speed over exhaustive file reading. Read file contents only when necessary to extract scores or pricing data. For counts and dates, use file metadata (names, modification times) whenever possible.

Metric Calculation Details

Deduplication Logic for Prospect Counting

When counting unique prospects, normalize business names by:

  1. Removing common prefixes: AGENCY-ONBOARD-, REPUTATION-AUDIT-, etc.
  2. Removing file extensions: .md, .pdf
  3. Converting to lowercase
  4. Removing trailing numbers or date stamps
  5. Grouping similar names (e.g., "JoesPlumbing" and "Joes-Plumbing" are the same prospect)
Pipeline Stage Classification

For each unique prospect, determine their stage:

  • New Lead: Only a quick audit or single scan
  • Audited: Full onboard or 2+ individual tool audits
  • Proposed: Has a proposal file
  • Active Client: Has files spanning multiple weeks/months, or has a follow-up report
  • Needs Follow-Up: Audit exists but is 14+ days old with no proposal
Revenue Estimation Fallbacks

If no explicit pricing is found in proposal files, use these estimates:

  1. Check for tier mentions (Tier 1/2/3, Essentials/Growth/Full Agency)
  2. Count the number of services recommended across all audits
  3. Estimate: 1-3 services = $1,000/mo, 4-7 services = $2,500/mo, 8+ services = $5,000/mo

© 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

Files

Just SKILL.md in skills/agency-status of zubair-trabzada/ai-agency-claude.

Open the folder on GitHubat commit 172a6c2

Compare with similar skills

Agency Status 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.

Agency Status compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Agency Status this skillzubair-trabzada/ai-agency-claude151—~2.9kAutomated safety check: PassMIT
Doc Coauthoringaws-samples/sample-strands-agent-with-agentcore19540 repos~3.2kAutomated safety check: PassMIT
Audit Onboarding Proposalhoangnb24/repository-harness1.2k—~4kAutomated safety check: PassMIT
No Negative EchoLB623/no-negative-echo900—~965Automated safety check: PassMIT
GEO Service Proposal Generatorzubair-trabzada/geo-seo-claude11k—~3kAutomated safety check: NotesMIT
Architectural ProposalsFritzAndFriends/SharpSite1452 repos~1.6kAutomated safety check: PassMIT

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  • Agency Quick

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  • Agency Report PDF

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Categories

Questions about Agency Status

What does Agency Status do?

Agency dashboard — shows agency-wide status, pipeline metrics, installed tools, and recent activity. Agency Status is an agent skill from zubair-trabzada/ai-agency-claude.

When should I use Agency Status?

Agency Status fits situations like: tasks that involve Proposals and quotes.

How do I install Agency Status in Claude Code?

Run `npx skills add zubair-trabzada/ai-agency-claude --skill agency-status -a claude-code`. Or copy the skill folder (skills/agency-status in zubair-trabzada/ai-agency-claude) into .claude/skills/agency-status in your project. Claude Code loads it when a task matches its description.

How do I install Agency Status in Codex?

Run `npx skills add zubair-trabzada/ai-agency-claude --skill agency-status -a codex`. Or copy the skill folder (skills/agency-status in zubair-trabzada/ai-agency-claude) into .agents/skills/agency-status in your project. Codex loads it when a task matches its description.

Can I use Agency Status in Cursor, Gemini CLI or GitHub Copilot?

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-status -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-status, .gemini/skills/agency-status, .github/skills/agency-status and .opencode/skills/agency-status in your project.

What does Agency Status need to run?

SKILL.md names no scripts, command-line tools or credentials: Agency Status is instructions for the agent only.

Does Agency Status access the network?

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.

Is Agency Status safe to install?

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.

What licence does Agency Status use?

Agency Status is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Agency Status use?

About 2.9k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Agency Status?

Skills that share tags, products or a category with Agency Status: 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.

Who maintains Agency Status?

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.