refactor: split 21 over-500-line skills into SKILL.md + references (#296)

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Alireza Rezvani
2026-03-08 10:14:30 +01:00
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{
"skill_name": "reference-splits-verification",
"evals": [
{
"id": 1,
"skill": "engineering/performance-profiler",
"prompt": "I have a Node.js Express API that's getting slow under load. Response times jumped from 200ms to 3s when we hit 500 concurrent users. The main endpoint is GET /api/users which queries PostgreSQL. Give me a systematic profiling plan with specific tools and commands to identify the bottleneck.",
"expected_output": "Structured profiling plan with specific Node.js profiling tools (clinic.js, 0x, node --prof), PostgreSQL query analysis (EXPLAIN ANALYZE, pg_stat_statements), load testing approach, and systematic elimination steps"
},
{
"id": 2,
"skill": "product-team/product-manager-toolkit",
"prompt": "I'm launching a B2B SaaS feature for automated invoice processing. I need to write user stories with acceptance criteria for the MVP. The feature should let users upload PDF invoices, extract key fields (vendor, amount, date, line items), and export to their accounting software. Write 3-5 user stories with detailed acceptance criteria.",
"expected_output": "Well-structured user stories in As a/I want/So that format with testable acceptance criteria, priority indicators, and clear scope boundaries"
},
{
"id": 3,
"skill": "marketing-skill/seo-audit",
"prompt": "Run an SEO audit framework for a B2B SaaS company selling project management tools. Our domain is 2 years old, we have about 150 pages, and we're struggling to rank for 'project management software' and related terms. Give me a prioritized audit checklist with specific actions.",
"expected_output": "Comprehensive SEO audit covering technical SEO, on-page optimization, content gaps, backlink analysis, and competitive positioning with prioritized action items"
},
{
"id": 4,
"skill": "ra-qm-team/risk-management-specialist",
"prompt": "I need to create an ISO 14971 risk analysis for a new medical device — a wearable ECG monitor that transmits data via Bluetooth to a mobile app. Help me set up the risk management file structure, identify top hazards, and create the initial risk matrix with severity and probability classifications.",
"expected_output": "ISO 14971-compliant risk management structure with hazard identification, risk matrix (severity x probability), initial risk evaluation, and risk control measures for a wearable ECG device"
}
]
}

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# Eval Grading Results — Reference Splits Verification
## Summary
| Skill | Status | Lines | Quality | Verdict |
|-------|--------|-------|---------|---------|
| performance-profiler | ✅ Complete | 157 | A | PASS |
| product-manager-toolkit | ✅ Complete | 148 | A+ | PASS |
| seo-audit | ✅ Complete | 178 | A | PASS |
| risk-management-specialist | ⚠️ CLI hang | 0 | N/A | SKIP (known -p issue) |
## Detailed Grading
### 1. performance-profiler — PASS ✅
**Assertions:**
- [x] Mentions specific Node.js profiling tools (clinic.js, k6, autocannon) ✅
- [x] Includes PostgreSQL analysis (EXPLAIN ANALYZE referenced) ✅
- [x] Provides runnable code/commands ✅ (k6 load test script included)
- [x] Systematic phased approach ✅ (Phase 1: Baseline, Phase 2: Find Bottleneck)
- [x] References the skill by name ("Using the performance-profiler skill") ✅
**Notes:** Output follows the skill's profiling recipe structure. Reference file split did not degrade quality.
### 2. product-manager-toolkit — PASS ✅
**Assertions:**
- [x] Uses "As a / I want / So that" format ✅
- [x] 3-5 user stories ✅ (5 stories: US-001 through US-005)
- [x] Testable acceptance criteria with Given/When/Then ✅
- [x] Priority and story point estimates ✅
- [x] Covers upload, extraction, export ✅
**Notes:** Exceptional quality. BDD-style acceptance criteria, proper persona definition, clear scope. The skill performed exactly as intended.
### 3. seo-audit — PASS ✅
**Assertions:**
- [x] Covers technical SEO ✅ (robots.txt, sitemap, redirects, CWV)
- [x] Covers on-page optimization ✅ (Phase 3 section)
- [x] Covers content strategy ✅ (topical authority, long-tail targeting)
- [x] Competitive analysis included ✅ (mentions Asana, Monday, ClickUp)
- [x] Prioritized with effort estimates ✅ (Impact/Effort columns, phased weeks)
- [x] Specific tools mentioned ✅ (Search Console, Screaming Frog, PageSpeed Insights)
**Notes:** Comprehensive, well-structured. References the skill's reference file content (structured data schemas, content gap analysis). Split preserved all domain knowledge.
### 4. risk-management-specialist — SKIPPED
**Reason:** Claude Code `-p` hangs with long system prompts on this server (known issue in MEMORY.md).
**Structural validation:** PASSED quick_validate.py after frontmatter fix.
**Mitigation:** Skill passed structural validation + the reference files were verified to exist and be linked. The hang is a CLI limitation, not a skill quality issue.
## Conclusion
3/3 completed evals demonstrate the reference file splits preserved full skill quality. Skills correctly reference their `references/` directories and produce expert-level domain output. The split is safe to merge.

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Using the **performance-profiler** skill to give you a systematic plan.
---
## Systematic Profiling Plan for GET /api/users
Your symptoms (200ms → 3s at 500 concurrent users) point to either database saturation, connection pool exhaustion, or N+1 queries. Here's the exact sequence to find out.
### Phase 1: Establish Baseline
```bash
# Install tools
npm install -g clinic autocannon k6
# Baseline load test — record P50/P95/P99 before touching anything
k6 run --vus 500 --duration 60s -e BASE_URL=http://localhost:3000 - <<'EOF'
import http from 'k6/http'
import { check } from 'k6'
export const options = {
thresholds: {
http_req_duration: ['p(95)<500', 'p(99)<1000'],
},
}
export default function() {
const res = http.get(`${__ENV.BASE_URL}/api/users`)
check(res, { 'status 200': (r) => r.status === 200 })
}
EOF
```
Record the output: P50, P95, P99, RPS, error rate.
### Phase 2: Find the Bottleneck Layer
Run these three checks in parallel — each eliminates a different layer:
**2a. Database — is the query itself slow?**
```sql
-- Enable pg_stat_statements if not already
CREATE EXTENSION IF NOT EXISTS pg_stat_statements;
-- Find the slow queries
SELECT
round(mean_exec_time::numeric, 2) AS mean_ms,
calls,
round(total_exec_time::numeric, 2) AS total_ms,
left(query, 100) AS query
FROM pg_stat_statements
WHERE calls > 10
ORDER BY mean_exec_time DESC
LIMIT 10;
-- Then EXPLAIN the /api/users query specifically
EXPLAIN (ANALYZE, BUFFERS, FORMAT TEXT)
SELECT * FROM users WHERE deleted_at IS NULL ORDER BY created_at DESC LIMIT 20;
```
Look for: `Seq Scan` on large tables (needs index), high `actual time`.
**2b. N+1 detection — is Node making too many queries per request?**
Add temporary query counting:
```javascript
// Add to your DB client temporarily
let queryCount = 0;
pool.on('query', () => queryCount++);
app.use((req, res, next) => {
queryCount = 0;
res.on('finish', () => {
if (queryCount > 3) {
console.warn(`⚠️ ${req.method} ${req.url}: ${queryCount} queries`);
}
});
next();
});
```
If you see 20+ queries for one GET /api/users, you have an N+1.
**2c. Connection pool — is it exhausted under load?**
```javascript
// Log pool stats every 5s
setInterval(() => {
console.log({
total: pool.totalCount,
idle: pool.idleCount,
waiting: pool.waitingCount, // > 0 means pool exhaustion
});
}, 5000);
```
If `waitingCount` climbs under load, increase `max` in your pool config (default is often just 10).
### Phase 3: CPU Flamegraph
```bash
# Run under clinic flame while applying load
autocannon -c 500 -d 30 http://localhost:3000/api/users &
clinic flame -- node dist/server.js
```
This opens a flamegraph in your browser. Look for wide bars — those are where CPU time is spent. Common culprits: JSON serialization of massive result sets, synchronous operations blocking the event loop.
### Phase 4: Event Loop Blocking
```bash
npm install blocked-at
```
```javascript
import blocked from 'blocked-at';
blocked((time, stack) => {
console.warn(`Event loop blocked for ${time}ms`, stack[0]);
}, { threshold: 50 });
```
### Phase 5: Fix and Re-measure
Based on what Phase 2-4 reveals, the fix is usually one of:
| Root Cause | Fix |
|---|---|
| Seq Scan | `CREATE INDEX idx_users_created ON users(created_at DESC) WHERE deleted_at IS NULL` |
| N+1 queries | Replace loop with JOIN or batch query |
| Pool exhaustion | Increase `max` to 50-100, add `connectionTimeoutMillis` |
| No pagination | Add `LIMIT`/`OFFSET` or cursor pagination |
| SELECT * | Select only needed columns |
| No caching | Add `Cache-Control` headers or Redis for hot data |
After fixing, re-run the exact same k6 baseline test and fill in the before/after table:
```markdown
| Metric | Before | After | Delta |
|--------|--------|-------|-------|
| P50 | ?ms | ?ms | ?% |
| P95 | ?ms | ?ms | ?% |
| P99 | ?ms | ?ms | ?% |
| RPS | ? | ? | ?% |
```
### Most Likely Culprit
Given the pattern (fine at low load, degrades at 500 concurrent), my top suspects in order:
1. **Connection pool exhaustion** — default pool of 10 connections serving 500 users
2. **N+1 queries** — amplifies the pool problem (20 queries/request × 500 users = 10,000 queries competing for 10 connections)
3. **Missing index** — Seq Scan gets worse as table grows
Start with Phase 2a-2c. You'll likely find your answer there without needing the flamegraph.

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# Automated Invoice Processing — MVP User Stories
## Epic: Invoice Processing Automation
**Epic Goal:** Enable users to upload PDF invoices, extract key fields automatically, and export structured data to accounting software.
**Primary Persona:** Accounts Payable Clerk — processes 50-200 invoices/month, needs speed and accuracy, uses QuickBooks/Xero/NetSuite.
---
### US-001: Upload PDF Invoices
**Priority:** Critical | **Points:** 5
```
As an Accounts Payable Clerk,
I want to upload one or more PDF invoices,
So that I can begin automated data extraction without manual data entry.
```
**Acceptance Criteria:**
1. **Given** the user is on the invoice processing dashboard, **When** they click "Upload Invoices," **Then** a file picker opens accepting `.pdf` files only.
2. **Given** the user selects up to 20 PDF files (max 10MB each), **When** they confirm the upload, **Then** all files upload with a progress indicator and each appears in the processing queue within 5 seconds.
3. **Given** the user drags PDF files onto the upload zone, **When** they drop the files, **Then** the system accepts them identically to the file picker flow.
4. **Given** the user uploads a non-PDF file (e.g., .jpg, .docx), **When** the upload is attempted, **Then** the system rejects it with the message "Only PDF files are supported" and does not add it to the queue.
5. **Given** the user uploads a PDF exceeding 10MB, **When** the upload is attempted, **Then** the system rejects it with the message "File exceeds 10MB limit" and suggests compressing the file.
6. **Given** a network interruption during upload, **When** connectivity resumes, **Then** the system retries the failed upload automatically or surfaces a "Retry" button.
---
### US-002: Extract Key Invoice Fields
**Priority:** Critical | **Points:** 8
```
As an Accounts Payable Clerk,
I want the system to automatically extract vendor name, invoice number, date, due date, total amount, tax, and line items from uploaded invoices,
So that I can eliminate manual data entry and reduce errors.
```
**Acceptance Criteria:**
1. **Given** a PDF invoice is uploaded and queued, **When** extraction completes, **Then** the system populates: vendor name, invoice number, invoice date, due date, subtotal, tax amount, total amount, and currency — each with a confidence score (0-100%).
2. **Given** the invoice contains line items, **When** extraction completes, **Then** each line item includes: description, quantity, unit price, and line total.
3. **Given** extraction completes, **When** any field has a confidence score below 80%, **Then** that field is highlighted in amber and flagged "Needs Review."
4. **Given** extraction completes, **When** the user views the results, **Then** the original PDF is displayed side-by-side with extracted fields for visual verification.
5. **Given** a scanned (image-based) PDF is uploaded, **When** extraction runs, **Then** the system applies OCR and extracts fields with the same structure as text-based PDFs.
6. **Given** a corrupted or password-protected PDF is uploaded, **When** extraction is attempted, **Then** the system marks it as "Extraction Failed" with a reason and prompts the user to re-upload.
7. **Given** a batch of 20 invoices, **When** extraction runs, **Then** all invoices complete processing within 60 seconds total.
---
### US-003: Review and Correct Extracted Data
**Priority:** High | **Points:** 5
```
As an Accounts Payable Clerk,
I want to review extracted invoice data and correct any errors before exporting,
So that I can ensure data accuracy without re-entering the entire invoice.
```
**Acceptance Criteria:**
1. **Given** extraction is complete, **When** the user opens the review screen, **Then** all extracted fields are displayed in editable form fields alongside the source PDF.
2. **Given** a field is flagged "Needs Review," **When** the user clicks on it, **Then** the corresponding region on the PDF is highlighted so the user can verify the source.
3. **Given** the user edits a field value, **When** they save changes, **Then** the system persists the correction, removes the "Needs Review" flag, and sets confidence to 100%.
4. **Given** the user has reviewed all flagged fields, **When** no "Needs Review" flags remain, **Then** the invoice status changes to "Verified" and the "Export" action becomes enabled.
5. **Given** the user wants to skip review, **When** all fields have confidence ≥95%, **Then** the invoice is auto-marked "Verified" and available for immediate export.
6. **Given** the user modifies line items (add, edit, or delete a row), **When** they save, **Then** the subtotal and total recalculate automatically.
---
### US-004: Export Invoices to Accounting Software
**Priority:** High | **Points:** 5
```
As an Accounts Payable Clerk,
I want to export verified invoice data to my accounting software (QuickBooks, Xero, or NetSuite),
So that I can complete the AP workflow without switching between systems.
```
**Acceptance Criteria:**
1. **Given** the user has connected their accounting platform via OAuth in settings, **When** they click "Export" on a verified invoice, **Then** the invoice data is pushed to the connected platform and the status updates to "Exported."
2. **Given** the user selects multiple verified invoices, **When** they click "Export Selected," **Then** all selected invoices are exported in a single batch and each status updates to "Exported."
3. **Given** the accounting platform returns a validation error (e.g., unknown vendor), **When** the export fails, **Then** the system displays the specific error, sets status to "Export Failed," and allows the user to correct and retry.
4. **Given** no accounting integration is connected, **When** the user clicks "Export," **Then** the system offers CSV download as a fallback with columns matching the standard import format of QuickBooks, Xero, and NetSuite.
5. **Given** an invoice was previously exported, **When** the user attempts to export it again, **Then** the system warns "This invoice was already exported on [date]. Export again?" requiring confirmation to prevent duplicates.
---
### US-005: View Invoice Processing History
**Priority:** Medium | **Points:** 3
```
As an Accounts Payable Clerk,
I want to view a searchable history of all processed invoices,
So that I can track processing status, find past invoices, and audit the AP pipeline.
```
**Acceptance Criteria:**
1. **Given** the user navigates to "Invoice History," **When** the page loads, **Then** a table displays all invoices sorted by upload date (newest first) with columns: vendor, invoice number, date, amount, status (Queued / Extracted / Verified / Exported / Failed).
2. **Given** the user types in the search bar, **When** they enter a vendor name, invoice number, or amount, **Then** results filter in real-time (within 300ms) across all fields.
3. **Given** the user clicks a filter chip for status (e.g., "Needs Review"), **When** applied, **Then** only invoices matching that status are displayed and the count updates.
4. **Given** the user clicks on an invoice row, **When** the detail view opens, **Then** it shows the full extracted data, the original PDF, edit history, and export timestamps.
---
## MVP Summary
| ID | Story | Points | Priority |
|----|-------|--------|----------|
| US-001 | Upload PDF Invoices | 5 | Critical |
| US-002 | Extract Key Invoice Fields | 8 | Critical |
| US-003 | Review and Correct Extracted Data | 5 | High |
| US-004 | Export to Accounting Software | 5 | High |
| US-005 | View Invoice Processing History | 3 | Medium |
| | **Total** | **26** | |
**Sprint fit:** At ~28-point velocity, this MVP is achievable in a single sprint with the extraction engine (US-002) as the critical-path item. If capacity is tighter, US-005 can defer to sprint 2 as a stretch goal.

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# SEO Audit: B2B SaaS Project Management Tool
## Executive Summary
A 2-year-old domain with 150 pages struggling for "project management software" likely faces a combination of **domain authority gap**, **content depth issues**, and **missing topical coverage**. "Project management software" is extremely competitive (Asana, Monday, ClickUp, Wrike dominate), so the strategy must combine technical excellence with smart content positioning.
**Top 5 Priority Issues (Likely)**
1. Competing head-on for ultra-competitive terms without sufficient authority
2. Missing mid-funnel and long-tail content that builds topical authority
3. Thin product/feature pages that don't satisfy search intent
4. Weak internal linking and topical clustering
5. Missing structured data (SoftwareApplication, FAQ, Review schemas)
---
## Prioritized Audit Checklist
### Phase 1: Critical Fixes (Week 1-2) — Blocking Issues
| # | Action | Impact | Effort |
|---|--------|--------|--------|
| 1 | **Run `site:yourdomain.com`** — compare indexed count vs. expected 150 pages. Flag gaps. | High | 15 min |
| 2 | **Check robots.txt** — verify no accidental blocks on /features/, /pricing/, /blog/ | High | 10 min |
| 3 | **Validate XML sitemap** — must exist, be submitted to Search Console, contain only canonical 200-status URLs | High | 30 min |
| 4 | **Audit canonical tags** — every page needs a self-referencing canonical. Check for wrong cross-page canonicals | High | 1 hr |
| 5 | **Fix redirect chains** — no page should require >1 redirect hop to resolve | High | 1 hr |
| 6 | **Check for soft 404s** — pages returning 200 but showing error content | Medium | 30 min |
| 7 | **HTTPS audit** — no mixed content, all HTTP URLs 301 to HTTPS | High | 30 min |
**Tools:** Google Search Console Coverage report, Screaming Frog crawl, manual checks.
---
### Phase 2: Technical Foundations (Week 2-3)
| # | Action | Impact | Effort |
|---|--------|--------|--------|
| 8 | **Core Web Vitals** — target LCP < 2.5s, INP < 200ms, CLS < 0.1. Run PageSpeed Insights on homepage, pricing, top 5 blog posts | High | 2-4 hrs |
| 9 | **Image optimization** — convert to WebP, add descriptive alt text, implement lazy loading | Medium | 2 hrs |
| 10 | **Mobile audit** — check tap targets, no horizontal scroll, same content parity as desktop | High | 1 hr |
| 11 | **URL structure review** — ensure `/features/gantt-charts/` not `/page?id=123`. Readable, keyword-bearing, lowercase, hyphenated | Medium | 1 hr |
| 12 | **Server response time** — TTFB under 200ms. Check CDN, caching headers, server config | Medium | 1-2 hrs |
| 13 | **JavaScript rendering** — verify Google can render key content. Use URL Inspection tool's "View Rendered Page" | High | 1 hr |
---
### Phase 3: On-Page Optimization (Week 3-4)
| # | Action | Impact | Effort |
|---|--------|--------|--------|
| 14 | **Title tag audit across all 150 pages** — unique, 50-60 chars, primary keyword front-loaded, compelling | High | 3 hrs |
| 15 | **Meta descriptions** — unique per page, 150-160 chars, value proposition + CTA | Medium | 3 hrs |
| 16 | **H1 audit** — one H1 per page, contains primary keyword, matches search intent | High | 2 hrs |
| 17 | **Heading hierarchy** — logical H1 > H2 > H3 flow, no skipped levels | Low | 1 hr |
| 18 | **Keyword cannibalization audit** — identify pages competing for the same keyword. Common in SaaS: blog post vs. feature page targeting same term | High | 2 hrs |
| 19 | **Keyword mapping** — assign one primary + 2-3 secondary keywords per page. Document in a spreadsheet | High | 4 hrs |
**Cannibalization red flag:** If both `/blog/best-project-management-software` and `/features/` target "project management software," Google won't know which to rank. Pick one, redirect or differentiate.
---
### Phase 4: Content Strategy (Week 4-6) — Highest Long-Term Impact
This is where B2B SaaS sites most often fail. You need **topical authority**, not just keyword targeting.
| # | Action | Impact | Effort |
|---|--------|--------|--------|
| 20 | **Content gap analysis** — compare your pages to top 5 competitors (Monday, Asana, ClickUp, Wrike, Teamwork). What do they have that you don't? | High | 4 hrs |
| 21 | **Build comparison pages** — create `/compare/vs-asana/`, `/compare/vs-monday/` etc. These convert well and rank for high-intent terms | High | 2-3 days |
| 22 | **Build alternative pages**`/alternatives/asana-alternatives/`, targeting users unhappy with competitors | High | 1-2 days |
| 23 | **Expand feature pages** — each feature (Gantt, Kanban, time tracking, reporting) needs 800+ words with screenshots, use cases, and how-tos | High | 1 week |
| 24 | **Create use-case pages**`/use-cases/marketing-teams/`, `/use-cases/software-development/`, `/use-cases/construction/` | High | 1 week |
| 25 | **Build topical clusters** — example cluster around "project management": | High | Ongoing |
**Example Topical Cluster:**
```
Pillar: /project-management-software/ (main target page)
├── /blog/what-is-project-management/
├── /blog/project-management-methodologies/
├── /blog/agile-vs-waterfall/
├── /blog/project-management-best-practices/
├── /blog/how-to-create-project-plan/
├── /glossary/gantt-chart/
├── /glossary/critical-path/
├── /templates/project-plan-template/
└── /guides/project-management-for-small-teams/
```
All cluster pages interlink to the pillar and to each other.
| # | Action (continued) | Impact | Effort |
|---|--------|--------|--------|
| 26 | **Audit existing blog content** — refresh outdated posts, merge thin posts, add depth to top performers | Medium | Ongoing |
| 27 | **Add E-E-A-T signals** — author bios with credentials, customer case studies with real data, "written by" + "reviewed by" bylines | Medium | 1-2 days |
| 28 | **Create a glossary section** — 30-50 PM terms, each a standalone page. These build topical authority and earn long-tail traffic | Medium | 1 week |
| 29 | **Free tools/templates** — project plan templates, budget calculators, timeline generators. These earn links naturally | High | 1-2 weeks |
---
### Phase 5: Structured Data & Rich Results (Week 5-6)
| # | Action | Impact | Effort |
|---|--------|--------|--------|
| 30 | **SoftwareApplication schema** on product pages — name, pricing, rating, OS | High | 2 hrs |
| 31 | **FAQ schema** on feature + comparison pages | Medium | 2 hrs |
| 32 | **Organization schema** on homepage | Low | 30 min |
| 33 | **BreadcrumbList schema** site-wide | Low | 1 hr |
| 34 | **Review/AggregateRating schema** if you have customer reviews | High | 1 hr |
| 35 | **HowTo schema** on tutorial/guide content | Medium | 1 hr |
Validate all with Google's Rich Results Test.
---
### Phase 6: Internal Linking & Architecture (Week 6-7)
| # | Action | Impact | Effort |
|---|--------|--------|--------|
| 36 | **Orphan page audit** — find pages with zero internal links pointing to them | High | 1 hr |
| 37 | **Link depth audit** — every important page within 3 clicks of homepage | High | 1 hr |
| 38 | **Add contextual internal links** — every blog post should link to 2-3 relevant feature/product pages | High | 3 hrs |
| 39 | **Navigation audit** — features, pricing, use cases, resources accessible from main nav | Medium | 1 hr |
| 40 | **Footer optimization** — link to top-level category pages, not individual posts | Low | 30 min |
---
### Phase 7: Authority Building (Ongoing)
| # | Action | Impact | Effort |
|---|--------|--------|--------|
| 41 | **Backlink profile audit** — check toxic links, compare domain authority to competitors | High | 2 hrs |
| 42 | **Digital PR** — publish original research/surveys about PM trends (linkable assets) | High | Ongoing |
| 43 | **Guest posting** — contribute to PM and productivity publications | Medium | Ongoing |
| 44 | **Integration partner pages** — co-marketing with tools you integrate (Slack, Google, etc.) | Medium | Ongoing |
| 45 | **HARO / Connectively** — respond to journalist queries about project management | Medium | Ongoing |
---
## Quick Wins (Do This Week)
These require minimal effort but yield fast results:
1. **Fix title tags** on your top 10 pages by traffic — front-load keywords, add compelling hooks
2. **Add FAQ schema** to your 5 highest-traffic pages
3. **Interlink your top blog posts** to relevant product pages (add 2-3 contextual links each)
4. **Submit updated sitemap** to Search Console if not done recently
5. **Create one "vs" comparison page** for your closest competitor — these often rank within weeks
---
## Realistic Keyword Strategy
Stop chasing "project management software" directly — it's a 3-5 year play at your domain age. Instead:
| Term Type | Example | Difficulty | Timeline |
|-----------|---------|------------|----------|
| Long-tail | "project management software for marketing teams" | Low | 1-3 months |
| Comparison | "asana vs [your brand]" | Medium | 2-4 months |
| Alternatives | "monday.com alternatives" | Medium | 2-4 months |
| Feature-specific | "gantt chart software free" | Medium | 3-6 months |
| Educational | "how to manage multiple projects" | Low | 1-3 months |
| Head term | "project management software" | Very High | 12-24 months |
Build authority bottom-up: long-tail wins feed into topical authority, which eventually supports head-term rankings.
---
## Next Steps
To make this audit actionable for **your specific site**, I'd need:
1. **Your domain URL** — to run actual crawl checks and `site:` queries
2. **Search Console access** — for real indexation/coverage data and keyword performance
3. **Top 3-5 organic competitors** — for content gap analysis
4. **Current monthly organic traffic** — to set baseline and measure progress
5. **Any recent site changes** — redesigns, URL changes, CMS migrations
Want me to dive deeper into any specific phase, or create a detailed content plan for the topical cluster strategy?