Im Registry indexiert
blog-decay
Detect content decay from Google Search Console exports by comparing current and previous page performance, flagging quarter-over-quarter traffic drops, dropped pages, and refresh, consolidate, prune, or query-shift actions. Use when the user says "/blog decay", "content decay",
Übersicht
Detect content decay from Google Search Console exports by comparing current and previous page performance, flagging quarter-over-quarter traffic drops, dropped pages, and refresh, consolidate, prune, or query-shift actions. Use when the user says "/blog decay", "content decay", "traffic drop", "QoQ decline", "GSC decay", or "refresh declining posts".
Vollständige Dokumentation lesen
Quelldokumentation, keine Anweisungen für diese Website. Vor dem Ausführen von Befehlen die Berechtigungen prüfen.
Blog Decay
Use /blog decay to find pages whose Google Search Console performance has
declined quarter-over-quarter. The command compares a current-period export
against a previous-period export, flags pages with a 20% or larger decline by
default, and recommends the next content action.
Default Offline Workflow
Run the local analyzer against two GSC page exports:
python3 scripts/content_decay.py current.json previous.json
Useful options:
python3 scripts/content_decay.py current.json previous.json --threshold 0.30
python3 scripts/content_decay.py current.json previous.json --metric impressions
python3 scripts/content_decay.py current.json previous.json --format markdown --output decay-report.md
The script accepts JSON lists of page rows with page or url, clicks, and
impressions. It also accepts the object shape returned by blog-google when
the rows are under a top-level rows key.
Optional Live GSC Export
For live data, use /blog google gsc or the underlying blog-google command
to create each period export, then run the offline analyzer:
python3 skills/blog-google/scripts/run.py gsc_query --property sc-domain:example.com --dimensions page --start-date YYYY-MM-DD --end-date YYYY-MM-DD --json > gsc-current.json
python3 skills/blog-google/scripts/run.py gsc_query --property sc-domain:example.com --dimensions page --start-date YYYY-MM-DD --end-date YYYY-MM-DD --json > gsc-previous.json
python3 scripts/content_decay.py gsc-current.json gsc-previous.json --format markdown
Use adjacent periods of similar length for short-term checks. For seasonality, also run a year-over-year comparison using the same date length, filters, search type, device, country, and property. When possible, inspect up to 16 months of GSC history before diagnosing a traffic drop.
Decay Model
The default metric is clicks. Also review impressions, CTR, average position,
query and page pairs, device, country, and search appearance deltas before
choosing an action.
Severity:
| Decline | Severity |
|---|---|
| 20% to 39.9% | warning |
| 40% to 59.9% | high |
| 60% or more | critical |
Dropped pages are previous-period pages missing from the current export only
after confirming identical filters, sufficient row limits, matching dimensions,
and URL inspection. Otherwise mark them as needs_validation, not
dropped_out.
Recommended Actions
Use the action as the first triage path only after checking indexation, canonical status, query loss, internal links, backlinks, seasonality, and business value:
| Action | Use when |
|---|---|
| refresh/update content | The page still has demand and likely needs freshness, title, internal link, or section updates. |
| investigate query shift | Clicks fell while impressions held up, suggesting CTR, rank, SERP, or query mix changes. |
| consolidate/redirect | The page dropped out or the loss is severe enough that merging into a stronger URL may recover value faster. |
| prune | The page had very low prior demand and may not justify rewrite effort. |
Cross-references
Use blog-google to collect Search Console exports when live credentials are
available. Use blog-rewrite after decay detection when the recommended action
is refresh/update content and the page is worth improving.
Dateimetadaten
name: blog-decay description: Detect content decay from Google Search Console exports by comparing current and previous page performance, flagging quarter-over-quarter traffic drops, dropped pages, and refresh, consolidate, prune, or query-shift actions. Use when the user says "/blog decay", "content decay", "traffic drop", "QoQ decline", "GSC decay", or "refresh declining posts". argument-hint: "<current-gsc.json> <previous-gsc.json> [threshold] [metric]" user-invokable: true license: MIT
Originaltext anzeigen
--- name: blog-decay description: Detect content decay from Google Search Console exports by comparing current and previous page performance, flagging quarter-over-quarter traffic drops, dropped pages, and refresh, consolidate, prune, or query-shift actions. Use when the user says "/blog decay", "content decay", "traffic drop", "QoQ decline", "GSC decay", or "refresh declining posts". argument-hint: "<current-gsc.json> <previous-gsc.json> [threshold] [metric]" user-invokable: true license: MIT --- # Blog Decay Use `/blog decay` to find pages whose Google Search Console performance has declined quarter-over-quarter. The command compares a current-period export against a previous-period export, flags pages with a 20% or larger decline by default, and recommends the next content action. ## Default Offline Workflow Run the local analyzer against two GSC page exports: ```bash python3 scripts/content_decay.py current.json previous.json ``` Useful options: ```bash python3 scripts/content_decay.py current.json previous.json --threshold 0.30 python3 scripts/content_decay.py current.json previous.json --metric impressions python3 scripts/content_decay.py current.json previous.json --format markdown --output decay-report.md ``` The script accepts JSON lists of page rows with `page` or `url`, `clicks`, and `impressions`. It also accepts the object shape returned by `blog-google` when the rows are under a top-level `rows` key. ## Optional Live GSC Export For live data, use `/blog google gsc` or the underlying `blog-google` command to create each period export, then run the offline analyzer: ```bash python3 skills/blog-google/scripts/run.py gsc_query --property sc-domain:example.com --dimensions page --start-date YYYY-MM-DD --end-date YYYY-MM-DD --json > gsc-current.json python3 skills/blog-google/scripts/run.py gsc_query --property sc-domain:example.com --dimensions page --start-date YYYY-MM-DD --end-date YYYY-MM-DD --json > gsc-previous.json python3 scripts/content_decay.py gsc-current.json gsc-previous.json --format markdown ``` Use adjacent periods of similar length for short-term checks. For seasonality, also run a year-over-year comparison using the same date length, filters, search type, device, country, and property. When possible, inspect up to 16 months of GSC history before diagnosing a traffic drop. ## Decay Model The default metric is `clicks`. Also review impressions, CTR, average position, query and page pairs, device, country, and search appearance deltas before choosing an action. Severity: | Decline | Severity | | --- | --- | | 20% to 39.9% | warning | | 40% to 59.9% | high | | 60% or more | critical | Dropped pages are previous-period pages missing from the current export only after confirming identical filters, sufficient row limits, matching dimensions, and URL inspection. Otherwise mark them as `needs_validation`, not `dropped_out`. ## Recommended Actions Use the action as the first triage path only after checking indexation, canonical status, query loss, internal links, backlinks, seasonality, and business value: | Action | Use when | | --- | --- | | refresh/update content | The page still has demand and likely needs freshness, title, internal link, or section updates. | | investigate query shift | Clicks fell while impressions held up, suggesting CTR, rank, SERP, or query mix changes. | | consolidate/redirect | The page dropped out or the loss is severe enough that merging into a stronger URL may recover value faster. | | prune | The page had very low prior demand and may not justify rewrite effort. | ## Cross-references Use `blog-google` to collect Search Console exports when live credentials are available. Use `blog-rewrite` after decay detection when the recommended action is refresh/update content and the page is worth improving.
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- Lizenz
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Ein Anleitungspfad ist erfasst. Das ist kein Ausführungstest und keine Sicherheits- oder Kompatibilitätsgarantie.
Vor Installation prüfen: Automatische Installation vermeiden
Lizenz: MIT
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Financial research output is not financial advice; require human review before any live investment decision
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
Tools sind Metadatenhinweise, keine getestete Kompatibilität. Prompts sind Vorschläge.
Mit einer kleinen Aufgabe beginnen
- 1Quelle lesen und Eingaben, Ergebnisse, Abhängigkeiten sowie Berechtigungen prüfen.
- 2Agent um einen Plan bitten. Einrichtung und Kosten vor einem isolierten Test genehmigen.
- 3Ergebnisse und geänderte Dateien prüfen. Nur tatsächliche Ausführungen melden und die Quellrevision aufbewahren.
Prüfe Abhängigkeiten, API-Schlüssel und externe Kosten in der Quelle. Öffentliche Repositories bedeuten nicht, dass alle Dienste kostenlos sind.
Quelle und Nutzungshinweise
Metadaten und Prüfungen dienen der Orientierung. Beliebtheit, Quellenerfassung und erfolgreiche Ausführung sind verschiedene Fakten.
- Quell-Repository
- AgriciDaniel/claude-blog
- Lizenz
- MIT
- Version
- 1.0.0
- Letzter GitHub-Push
- 28. Aug. 2026
- Verzeichnis aktualisiert
- 2. Sept. 2026
Version aus den Verzeichnismetadaten; Releases der Quelle prüfen.
Qualität
77/100
Stark
Vertrauen
70/100
Nur Sandbox
Audit
81/100
Prüfung nötig
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Financial research output is not financial advice; require human review before any live investment decision
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
- Verified installs
- —
- Ergebnisse
- —
Kopieren ist keine Installation. Zahlen benötigen eine Erfolgsmeldung und garantieren keine allgemeine Qualität.
Agent-Zugang
Die Registry API stellt Entscheidungs-, Vertrauens-, Audit-, Use-Case- und Installationssignale ohne UI-Scraping bereit.
Weitere Details
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}Für Ersteller
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- Ersteller
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- AgriciDaniel/claude-blog
- Indexiert von
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Diesen Skill beanspruchenEigentümeranspruch
Diesen Skill-Eintrag beanspruchen
Dieser Registry-indexiert-Eintrag wird AgriciDaniel zugeschrieben, ist aber noch nicht offiziell markiert. Beanspruche ihn, um ein verifiziertes Eigentümersignal hinzuzufügen und künftige Launch-, Installations- und Audit-Updates vertrauenswürdiger zu machen.
Share-Kit
Creator-Backlink-Kit
Evidenz-Badges in deine README einfügen
Zeige den kanonischen Eintrag, aktuelle Vertrauens- und Audit-Signale sowie echte Agent-Proven-Evidenz dort, wo Entwickler das Repository bewerten.
[](https://www.openagentskill.com/skills/agricidaniel-blog-decay?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/agricidaniel-blog-decay?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/agricidaniel-blog-decay/audit)
[](https://www.openagentskill.com/skills/agricidaniel-blog-decay?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)Community-Signal
Teile mit, ob dieser Skill für deinen Agent-Workflow nützlich ist. Zusammengefasstes Feedback verbessert das Ranking im Laufe der Zeit.
