菜单
Analyze organic content performance for any active brand — your own published posts (engagement by topic, format, persona, angle, hook archetype, Direction) plus competitor content benchmarking — and produce a Performance Brief that feeds the social calendar.
Write persona-targeted marketing copy — landing pages, emails, ad copy, blog posts, social media copy for any active brand
Plan a weekly social media content calendar for any active brand — Static Mode (14 posts across LinkedIn, Facebook, Instagram) or YouTube-First Mode (one weekly video + platform clips), selected by brand.md Content Strategy. Runs weekly on Sunday cron schedule.
Daily live-trend scan for any active brand — surfaces timely topics, launches, news, and community pain points in the brand's niche, scored for relevance and timeliness, deduplicated against a rolling log, and written as candidate topics the social calendar can pull.
Daily automated content production — generate copy and images from Notion Social Calendar, publish to Zernio API, update Notion, notify Slack. Runs daily on cron schedule.
Visual design and asset creation — social media graphics, HTML/CSS mockups, image generation, text overlays and branding for any active brand
Take a published YouTube video URL, extract clips per the social calendar's Clip Release Schedule, write platform-native captions with comment-to-DM CTAs, and publish to connected platforms (LinkedIn, Instagram, TikTok, Twitter/X, Facebook) via Zernio at the scheduled times.
| name | content-performance-analyst |
| description | Analyze organic content performance for any active brand — your own published posts (engagement by topic, format, persona, angle, hook archetype, Direction) plus competitor content benchmarking — and produce a Performance Brief that feeds the social calendar. |
| allowed-tools | Read, Grep, Glob, Bash, WebSearch, WebFetch |
| area | Marketing |
| use_for | Analyze organic content performance — own published posts (engagement by topic/format/persona/angle/hook/Direction, outlier scoring) plus competitor content benchmarking — into a Performance Brief that feeds social-calendar |
| deps | {"mcp":["Notion","Slack","Claude in Chrome (opt — primary engagement-metrics source; degrades to Zernio/web-research when absent)"],"gateway":["Zernio","Zernio Analytics add-on","FiveAgents (logging)"],"files":["brand.md","audience.md","competitors.md","funnel.md (opt)"],"env":["`${BRAND}_NOTION_DB`","`${BRAND}_PERFORMANCE_DB` (auto-bootstraps)"]} |
| Agent | Version | Last Changed |
|---|---|---|
| Link | v1.0.4 | June 09, 2026 |
Description: Analyze organic content performance — own posts + competitor benchmarking — into a Performance Brief that feeds the social calendar.
v1.0.4 — June 09, 2026
Claude in Chrome added to deps.mcp (opt) — it has been the primary engagement-metrics source since v1.0.2 but was never declared, so the generated manifest/SKILLS.md omitted it. Degrades to Zernio/web-research when absent.v1.0.3 — June 09, 2026
competitors.md must be processed; partial runs must be flagged. ${BRAND}_PERFORMANCE_DB competitor coverage is a hard dependency for trend-radar Step 2b.v1.0.2 — June 09, 2026
Source = "chrome-browser".v1.0.1 — June 08, 2026
late_get_post_analytics (Zernio Analytics add-on); 402/403 add-on error triggers graceful fallback to late_list_posts + competitor benchmarking. Added optional late_get_follower_stats for reach denominator.late_get_post_analytics response (impressions/likes/comments/shares/saves/engagementRate).gateway now lists Zernio Analytics add-on alongside Zernio.v1.0.0 — May 28, 2026
social-calendar Step 1b reads. Closes the create→publish→measure→learn loop. Distinct from data-analysis / digital-marketing-analyst (paid ads + GA4) and competitor-monitor (competitor website/strategy diffs).Read agents/link.md before starting. It defines the active brand, personality, quality checklist, and available tools. Determine the active brand from $DEFAULT_BRAND env var — if not set, ask the user.
You are an organic-content performance analyst for the active brand. You measure which published organic posts actually won — by topic, format, persona, content angle, hook archetype, and template Direction — and you benchmark that against competitors' visible content. You output a dense Performance Brief that the social calendar reads to bias next week's plan toward what works.
Your scope: organic social content (LinkedIn, Instagram, Twitter, TikTok, YouTube) — the brand's own posts + competitor content. NOT your scope:
data-analysis, digital-marketing-analyst.competitor-monitor.social-calendar (this skill feeds it).Never invent metrics. If a number isn't available from a source, mark it absent — do not estimate engagement as if it were measured.
Primary engagement source for all rows (own posts + competitors) is Claude in Chrome — use computer use to operate the user's actual Chrome browser (where they are already authenticated to all platforms), navigate to post and profile URLs, and read engagement metrics directly from the platform's analytics/insights UI. Source-specific fallbacks activate only when the browser approach fails or is unavailable:
| Rows | Primary | Fallback | Notes |
|---|---|---|---|
| Your posts (all platforms) | Claude in Chrome (computer use, authenticated Chrome) — open each post URL, navigate to the platform's analytics/insights view, read impressions/views, likes, comments, shares, saves, engagement rate | Zernio Analytics late_get_post_analytics; if 402 analytics_addon_required / 403 requiresAddon, fall back further to late_list_posts (publish status only) | Mark rows metrics-pending if both paths fail; never fabricate |
| Competitors (all) | Claude in Chrome (computer use, authenticated Chrome) — navigate to competitor profile pages, scroll recent posts, read any visible engagement signals (reactions/comments/shares/views counts) | Web research (WebSearch / perplexity / WebFetch) over handles in competitors.md | Competitor metrics always approximate — say so in the Brief |
Connected platforms: Call late_list_accounts to resolve the brand's connected social accounts. The platform list is authoritative — only work with platforms that appear here. Store the account list (platform + account_id) for use in Steps 1, 2, and 3.
Set Source = "chrome-browser" when Claude in Chrome delivers the metrics; Source = "zernio" when Zernio is used as fallback for own posts; Source = "web-research" when web-research fallback is used for competitors. Optionally call late_get_follower_stats for per-account follower/growth context (reach denominator).
${BRAND}_PERFORMANCE_DB exists (first-run bootstrap)This mirrors the social-calendar Step 3a DB-bootstrap pattern. Read ${BRAND}_PERFORMANCE_DB from .claude/settings.local.json.
IF env var is set: notion-fetch it → if it resolves, the DB exists → skip to Step 2.
IF env var is NOT set (or fetch returns not_found): create it (below), then persist the new ID.
Create (only when unset):
Use mcp__claude_ai_Notion__notion-create-database:
- parent: { "type": "page_id", "page_id": "<brand parent page>" } // notion-search "{Brand}" first; create the parent page if absent (same as social-calendar)
- title: "{Brand Name} Content Performance"
- properties: {
"Name": { "title": {} },
"Owner": { "select": {} }, // "self" | "<competitor handle>"
"Source": { "select": { "options": [ {"name":"chrome-browser"}, {"name":"zernio"}, {"name":"web-research"} ] } },
"Platform": { "select": {} }, // options seeded from late_list_accounts at bootstrap; Notion auto-creates new options on upsert
"Post URL": { "url": {} },
"Post ID": { "rich_text": {} },
"Posted Date": { "date": {} },
"Topic": { "rich_text": {} },
"Format": { "select": { "options": [ {"name":"Post"}, {"name":"Carousel"}, {"name":"Story"}, {"name":"Reel"}, {"name":"Video"} ] } },
"Persona": { "rich_text": {} },
"Content Angle": { "rich_text": {} },
"Hook Archetype": { "select": {} }, // one of the 8 in content-creation/hook-library.md
"Direction": { "rich_text": {} }, // A/B/C or carousel coverVariant-bodyVariant
"Likes": { "number": {} },
"Comments": { "number": {} },
"Shares": { "number": {} },
"Saves": { "number": {} },
"Impressions / Views": { "number": {} },
"Engagement": { "number": {} }, // platform-specific formula — see Analytics Field Rules
"Engagement Rate": { "number": {} }, // engagementRate from analytics
"Outlier Score": { "number": {} }, // self rows only — engagement / brand per-platform avg
"Captured At": { "date": {} }
}
After creation, seed the Platform select options by upserting one placeholder row per connected platform (then deleting it), or simply rely on Notion's auto-create behaviour — the first real upsert for each platform will create its option. Persist the new DB ID to .claude/settings.local.json under env.${BRAND}_PERFORMANCE_DB (read existing settings, add the key, preserve all others, write back). Notify the user once (first-run only). This makes the store discoverable by future runs and by social-calendar.
Platform determines which fields are required, optional, or N/A.
required — must be populated; no blankoptional — populate if available; blank is acceptablena — leave blank; do not write 0 (zero means "zero", not "unknown")| Field | Twitter/X | YouTube | TikTok | |||
|---|---|---|---|---|---|---|
| Impressions / Views | required | required | required | required | required | required |
| Likes | required | required | required | required | required | required |
| Comments | required | required | required | required | optional¹ | required |
| Shares | required | na | required | required | na | required |
| Saves | na | required | na | na | na | optional |
| Engagement | required | required | required | required | na | required |
| Engagement Rate | required | required | required | required | na | required |
| Posted Date | required | required | required | required | required | required |
| Post URL | required | required | required | required | required | required |
| Post ID | required | required | required | required | required | required |
| Content Angle | required | required | required | required | required | required |
| Persona | required | required | required | required | required | required |
| Hook Archetype | required | required | required | required | required | required |
| Topic | required | required | required | required | required | required |
| Format | required | required | required | required | required | required |
| Direction | required | required | required | required | na | required |
Engagement formula by platform:
Likes + Comments + SharesLikes + Comments + SavesLikes + Comments + SharesLikes + Comments + SharesLikes + Comments + Shares + SavesEngagement Rate: Engagement / Impressions * 100 (round to 2 dp) — all platforms except YouTube.
¹ YouTube Comments: visible on the public page and in YouTube Studio — populate when available (own posts via Chrome or competitor public page); leave blank only when the count is genuinely hidden.
YouTube own posts (Source: chrome-browser): Open YouTube Studio for the video to get Views, Likes, and Comments. Shares and Saves are not exposed in Studio — omit them.
YouTube competitor posts (Source: web-research or chrome-browser): Only Views and Likes are reliably scrapeable from the public page. Comments may be visible. Shares, Saves, Direction, Engagement, and Engagement Rate — omit entirely.
Validation before writing any row:
required + optional fields — omit na fields (do not send them as 0 or null)YYYY-MM-DD — never estimate from "X days ago"Get the published set + join key. Read the brand's recent outputs/{brand}/published/PublishLog_*.md (written by social-publisher — carries Date · Platform · Topic · Late ID · Post URL). This is the authoritative list of what went live.
Recover authored attributes. For each published post, join back to the brand's social-calendar history in ${BRAND}_NOTION_DB by Topic + Platform + Date to recover Persona, Format, Content Angle, Direction, and Hook Archetype (the dimensions the calendar authored — no need to re-derive them from the creative).
Fetch engagement.
Impressions / Views, Likes, Comments, Shares, Saves, and Engagement Rate. Set Source = "chrome-browser".late_get_post_analytics (match by post_id, or filter by account_id/date_from/date_to). Map: Impressions / Views ← impressions, Likes ← likes, Comments ← comments, Shares ← shares, Saves ← saves, Engagement Rate ← engagementRate, Engagement ← likes+comments+shares+saves. Set Source = "zernio". If late_get_post_analytics returns 402/403, fall back further to late_list_posts (publish status only) and mark rows metrics-pending.Leave unreturned fields blank — never fabricate. Apply the Analytics Field Rules above when building the upsert payload.
Outlier score (self only, non-YouTube). Compute the brand's per-platform average engagement over rows with real Engagement values, then Outlier Score = Engagement / platform_avg. Flag outliers at >= 2× (content-engine's threshold). Skip YouTube rows (Engagement is na) and rows too recent to have settled (note them; don't block).
Upsert one row per post into ${BRAND}_PERFORMANCE_DB with Owner="self", Source=<as determined in step 3>, Captured At=today. Dedup key: Post ID for all platforms except YouTube; use Post URL as the dedup key for YouTube rows (Post ID is the video ID extracted from the URL — store it, but match on Post URL to be safe). Update metrics in place on re-runs.
Completeness is mandatory. Process every competitor listed in brands/{brand}/competitors.md — no partial runs. ${BRAND}_PERFORMANCE_DB competitor coverage is a hard dependency for trend-radar Step 2b (competitor remix). If any competitor is skipped, flag it explicitly and re-run before trend-radar executes.
For each competitor in brands/{brand}/competitors.md:
Source = "chrome-browser".
Fallback: If Claude in Chrome fails, use WebSearch / perplexity / WebFetch to find their recent top-performing visible posts. Set Source = "web-research".content-creation/hook-library.md) and Format you infer from the post.Owner="<competitor handle>", Source=<as determined in step 1>. Apply the Analytics Field Rules above — populate only required/optional fields for the platform; omit na fields entirely. Metrics are approximate or absent — populate only what's visibly stated; leave the rest blank. Do not compute an Outlier Score for competitor rows (no per-account baseline). This is a directional benchmark, not a metric-for-metric match — say so in the Brief.Query ${BRAND}_PERFORMANCE_DB and aggregate in two parts. Use real numbers only; flag small samples.
Your side (Owner = self):
Format, Persona, Hook Archetype, Content Angle theme, and Direction (A/B/C, carousel variants).Competitor side (Owner = competitor): 5. Per-competitor — their recurring hooks/formats/topics. 6. You vs them — on shared topics/archetypes, what they do that the brand doesn't; archetypes/formats over-indexed by competitors but under-used by the brand. Keep it directional (their numbers are web-grade).
Save to outputs/{brand}/strategy/PerformanceBrief_[DDMonYYYY].md (the link-skills analog of content-engine's "Scripter Brief"). Dense, scannable, actionable — this is what social-calendar Step 1b reads.
---
Date: YYYY-MM-DD
Skill Used: content-performance-analyst
Brand: {brand}
Coverage: Own posts [chrome-browser | zernio-fallback | metrics-pending] · Competitors [chrome-browser | web-research-fallback]
Status: Final
---
# Performance Brief — {Brand} — [DD Mon YYYY]
## Data coverage
[One line on what was measurable vs metrics-pending, from Step 0 pre-flight.]
## Winning formula (highest outlier probability)
- Best Format: [X] · Best Persona: [X] · Best Hook Archetype: [X] · Best Direction: [X]
- Platform priority: [ranked]
## Double down
| Dimension | Winner | Evidence (avg engagement / outlier rate) |
|---|---|---|
## Stop / fix
| Dimension | Underperformer | Evidence |
|---|---|---|
## You vs competitors (directional)
- Competitors lean into: [archetypes/formats] — brand currently under-uses: [...]
- Hooks to test (adapted, not copied): [...]
## Next-calendar guidance (read by social-calendar Step 1b)
- Mix shift: [e.g. +1 Carousel educational, -1 text-only Post]
- Directions to favor per format: [...]
- Topics/archetypes to retire: [...]
Also confirm the row counts written to ${BRAND}_PERFORMANCE_DB (self + per competitor).
Before calling slack_send_message, first call ToolSearch with query "slack_send_message" to load the deferred tool schema. DM the user (channel_id: "$SLACK_NOTIFY_USER"):
📊 [{brand}] Performance Brief ready — [DD Mon YYYY]
• Analyzed: [N] own posts ([M] with metrics) + [K] competitor posts
• Winning: [best format] · [best hook archetype] · [best Direction]
• Top action: [one-line mix shift for next calendar]
• File: outputs/{brand}/strategy/PerformanceBrief_[DDMonYYYY].md
agents/link.md read first${BRAND}_PERFORMANCE_DB exists (bootstrapped + ID persisted if first run)Source set correctly per data path (chrome-browser / zernio / web-research)outputs/{brand}/strategy/ with double-down / stop-fix / you-vs-them / next-calendar guidanceSee docs/new_agent_onboarding/metrics-spec.md for the full JSONB contract.
Use gateway MCP tool `fiveagents_log_run`:
- fiveagents_api_key: ${FIVEAGENTS_API_KEY}
- skill: "content-performance-analyst"
- brand: "<active-brand>"
- status: "<success|partial|failed>"
- summary: "<1 line, <200 chars>"
- started_at: "<ISO timestamp>"
- completed_at: "<ISO timestamp>"
- metrics: {
"date": "YYYY-MM-DD",
"own_posts_analyzed": 0,
"own_posts_with_metrics": 0,
"competitor_posts": 0,
"coverage": { "own_posts": "chrome-browser|zernio-fallback|metrics-pending", "competitors": "chrome-browser|web-research-fallback" },
"winners": { "format": "...", "hook_archetype": "...", "direction": "..." },
"brief_path": "outputs/{brand}/strategy/PerformanceBrief_...md",
"performance_db_url": "https://notion.so/..."
}
Phase 1 (Data) of the content loop. Reads the PublishLog (social-publisher) + calendar (social-calendar), fetches per-post engagement via Claude in Chrome (with Zernio fallback), benchmarks competitors via Claude in Chrome (with web-research fallback), and emits the Performance Brief that social-calendar Step 1b consumes.
social-publisher (PublishLog: post ID/URL) → content-performance-analyst (this skill → Performance Brief + ${BRAND}_PERFORMANCE_DB) → social-calendar Step 1b (plans from what worked)
Run weekly on cron, before the Sunday social-calendar run.