{"slug":"danicat-buffer-analytics","name":"buffer-analytics","description":"Collect and analyze social media data from Buffer in a local SQLite database. Stores your full post history and metrics across connected channels (such as LinkedIn, X/Twitter, Bluesky, and others) so you can run SQL queries or view reports on engagement, clicks, and views. Activate when you need to analyze social media performance, find the best days or times to post, identify top-performing content, or query Buffer data with SQL.","long_description":"---\nname: buffer-analytics\ndescription: >\n  Collect and analyze social media data from Buffer in a local SQLite database.\n  Stores your full post history and metrics across connected channels (such as\n  LinkedIn, X/Twitter, Bluesky, and others) so you can run SQL queries or view\n  reports on engagement, clicks, and views. Activate when you need to analyze\n  social media performance, find the best days or times to post, identify\n  top-performing content, or query Buffer data with SQL.\nlicense: Apache-2.0\nmetadata:\n  category: analytics\n  tags: \"buffer, social-media, analytics, sql, metrics, optimization\"\n  author: Daniela Petruzalek (daniela@danicat.dev)\n  version: \"0.2.0\"\n  catalog: https://skills.danicat.dev\n---\n\n# Buffer Analytics: SQLite Ingestion & SQL Query Engine\n\nThe `buffer-analytics` skill provides high-performance data warehousing and SQL querying for social media data downloaded via the Buffer CLI (`@bufferapp/cli`). It ingests raw payloads without filtering into a local SQLite database and provides a SQL interface for deep content crunching.\n\n## Available scripts\n- `scripts/buffer_analytics.py`: Automated sync and report CLI (incremental sync, backfill, pre-packaged reports, ad-hoc queries). Executed via `uv run scripts/buffer_analytics.py` (requires Node.js 18+ and `@bufferapp/cli`).\n- `scripts/test_buffer_analytics.py`: Unit and regression test suite validating schema, query extraction, and CLI flags.\n\n---\n\n## ⚡ Quick Start & Primary Actions\n\nAll operations are driven via the bundled Python script in `scripts/buffer_analytics.py`:\n\n```bash\n# 1. Incremental Sync (New posts + 2-day lookback metrics refresh)\nuv run scripts/buffer_analytics.py sync --db path/to/database.db\n\n# 2. Full Historical Backfill (Paginates through entire history)\nuv run scripts/buffer_analytics.py sync --full --db path/to/database.db\n\n# 3. Run Pre-Packaged Reports\nuv run scripts/buffer_analytics.py report overview --db path/to/database.db\nuv run scripts/buffer_analytics.py report top-posts --db path/to/database.db\nuv run scripts/buffer_analytics.py report channels --db path/to/database.db\nuv run scripts/buffer_analytics.py report timing --db path/to/database.db\nuv run scripts/buffer_analytics.py report hooks --db path/to/database.db\n\n# 4. Run Ad-Hoc SQL Query\nuv run scripts/buffer_analytics.py query \"SELECT service, AVG(impressions), AVG(reactions) FROM v_posts_summary WHERE status = 'sent' GROUP BY service\" --db path/to/database.db\n```\n\nIf `--db` is omitted, the script defaults to `buffer_analytics.db` in the current working directory.\n\n---\n\n## 🗄️ Database Schema & Relational Structure\n\nThe database maintains 6 normalized relational tables and high-performance SQL views. Detailed DDL and schema definitions are in [`references/schema.md`](references/schema.md).\n\n### Tables\n\n1. **`channels`**: Connected social accounts and metadata.\n   - Key columns: `id` (PK), `organization_id`, `name`, `service` (`linkedin`, `twitter`, `bluesky`), `display_name`, `timezone`, `is_disconnected`, `raw_json`, `synced_at`.\n2. **`posts`**: Individual posts, scheduling state, and content.\n   - Key columns: `id` (PK), `channel_id` (FK), `channel_service`, `status` (`sent`, `scheduled`, `draft`), `text`, `external_link`, `sent_at`, `due_at`, `char_count`, `word_count`, `has_link`, `has_media`, `thread_count`, `raw_json`, `synced_at`.\n3. **`post_metrics`**: Time-series metrics per post.\n   - Key columns: `id` (PK), `post_id` (FK), `channel_service`, `metric_type` (`impressions`, `reach`, `reactions`, `comments`, `reposts`, `clicks`, `engagementRate`), `value`, `synced_at`.\n4. **`post_assets`**: Attached images, videos, and media URLs.\n   - Key columns: `id` (PK), `post_id` (FK), `type`, `mime_type`, `source`, `thumbnail`, `raw_json`.\n5. **`post_tags`**: Campaign and topic tags assigned in Buffer.\n   - Key columns: `id`, `post_id` (FK), `name`, `color`.\n6. **`sync_history`**: Audit trail of all sync executions.\n   - Key columns: `id` (PK), `channel_id`, `sync_mode`, `posts_fetched`, `posts_inserted`, `posts_updated`, `started_at`, `status`.\n\n---\n\n## 📊 Core Analytical View: `v_posts_summary`\n\nThe primary view for SQL analytics is `v_posts_summary`, which pivots metrics and computes calendar dimensions:\n\n| Column | Type | Description |\n| :--- | :--- | :--- |\n| `post_id` | `TEXT` | Buffer Post ID |\n| `service` | `TEXT` | Network (`linkedin`, `twitter`, `bluesky`) |\n| `channel_name` | `TEXT` | Account handle/name |\n| `status` | `TEXT` | `sent`, `scheduled`, `draft` |\n| `sent_at` | `TEXT` | Full ISO timestamp |\n| `sent_date` | `TEXT` | Publication date (`YYYY-MM-DD`) |\n| `year_month` | `TEXT` | Calendar month (`YYYY-MM`) |\n| `day_of_week` | `TEXT` | Day name (`Monday`, `Tuesday`, etc.) |\n| `hour_of_day` | `INTEGER` | UTC hour (0–23) |\n| `char_count` / `word_count` | `INTEGER` | Text length metrics |\n| `has_link` / `has_media` | `INTEGER` | 1 if link or media is present |\n| `thread_count` | `INTEGER` | Number of posts in thread |\n| `impressions` | `REAL` | Total impressions / views |\n| `reach` | `REAL` | Unique accounts reached |\n| `reactions` | `REAL` | Likes and reactions |\n| `comments` | `REAL` | Comments received |\n| `reposts` | `REAL` | Retweets / reshares |\n| `clicks` | `REAL` | Link click count |\n| `engagement_rate` | `REAL` | Total engagement % |\n| `external_link` | `TEXT` | Live post URL |\n| `text` | `TEXT` | Full text copy |\n\n---\n\n## 🔍 SQL Analytics Cookbook\n\nPre-tested SQL query recipes are documented in [`references/queries.md`](references/queries.md).\n\n### 1. Best Day of the Week by Channel\n```sql\nSELECT\n    service,\n    day_of_week,\n    COUNT(*) AS posts,\n    ROUND(AVG(impressions), 0) AS avg_impressions,\n    ROUND(AVG(reactions), 1) AS avg_reactions,\n    ROUND(AVG(engagement_rate), 2) AS avg_eng_rate\nFROM v_posts_summary\nWHERE status = 'sent' AND day_of_week IS NOT NULL\nGROUP BY service, day_of_week\nORDER BY service, avg_impressions DESC;\n```\n\n### 2. Best Posting Hours (UTC)\n```sql\nSELECT\n    service,\n    hour_of_day || ':00 UTC' AS hour,\n    COUNT(*) AS posts,\n    ROUND(AVG(impressions), 0) AS avg_impressions,\n    ROUND(AVG(reactions), 1) AS avg_reactions\nFROM v_posts_summary\nWHERE status = 'sent' AND impressions > 0\nGROUP BY service, hour_of_day\nHAVING COUNT(*) >= 3\nORDER BY avg_impressions DESC;\n```\n\n### 3. Impact of Links in Body vs. First Comment\n```sql\nSELECT\n    service,\n    CASE WHEN has_link = 1 THEN 'Link in Body' ELSE 'No Link / First Comment' END AS placement,\n    COUNT(*) AS posts,\n    ROUND(AVG(impressions), 0) AS avg_impressions,\n    ROUND(AVG(reactions), 1) AS avg_reactions\nFROM v_posts_summary\nWHERE status = 'sent' AND service = 'linkedin'\nGROUP BY placement;\n```\n\n---\n\n## 📚 Progressive Disclosure & References\n\n- **Full DDL Schema Reference**: [`references/schema.md`](references/schema.md) — Exact SQL table definitions, column types, constraints, and views.\n- **SQL Query Recipes**: [`references/queries.md`](references/queries.md) — Analytical queries for timing, link penalties, hooks, and topic cohorts.\n- **Workflows Guide**: [`references/workflows.md`](references/workflows.md) — Operational guidance for periodic backfills and cron automations.\n- **Inquiry Playbook**: [`references/inquiry_playbook.md`](references/inquiry_playbook.md) — Strategic questions for campaign and social retrospectives.\n","tagline":"Collect and analyze social media data from Buffer in a local SQLite database. Stores your full post history and metrics across connected channels (such as LinkedIn, X/Twitter, Bluesky, and others) so you can run SQL queries or view reports on engagement, clicks, and views. Activa","category":"data-analysis","tags":["agent-skill"],"author":"danicat","verified":false,"attribution":{"status":"registry_indexed","statusLabel":"Registry indexed","shortLabel":"REGISTRY INDEXED","sourceLabel":"recursive skill source sync","sourceDetail":"danicat/skills","creatorName":"danicat","creatorUrl":"https://github.com/danicat","sourceUrl":"https://github.com/danicat/skills/tree/main/analytics/buffer-analytics","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/danicat-buffer-analytics#claim-this-skill","claimCta":"Claim this skill","trustNote":"This listing was indexed from public sources and is not marked official until a maintainer claim is approved.","publicNote":"Attribution links to the public repository or creator profile. 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issue activity unavailable in current metadata","Permission surface: shell or command execution, network or browser access"],"backward_compatible":{"trust_score_v4":{"version":"trust-score-v4","score":70,"tier":"review","label":"Manual review","summary":"Potentially useful, but at least one trust signal needs human inspection."}}},"trust_score_v4":{"version":"trust-score-v4","score":70,"tier":"review","label":"Manual review","summary":"Potentially useful, but at least one trust signal needs human inspection.","recommendedAction":"Inspect the repository, license, and recent activity before connecting it to agent workflows.","dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":30,"weight":0.13,"status":"fail","detail":"16 GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":32,"weight":0.08,"status":"fail","detail":"16 stars, 3 forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"Pushed today"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"Apache-2.0"},{"id":"documentation","label":"README/SKILL.md completeness","score":76,"weight":0.14,"status":"info","detail":"Public metadata needs stronger README/SKILL.md context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":64,"weight":0.12,"status":"info","detail":"command execution surface, database surface"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add danicat/skills --skill buffer-analytics"},{"id":"install_safety","label":"Install command safety","score":92,"weight":0.1,"status":"pass","detail":"standard package or runtime install path"},{"id":"permission_surface","label":"Permission surface","score":50,"weight":0.07,"status":"warn","detail":"shell or command execution, network or browser access"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/danicat/skills/tree/main/analytics/buffer-analytics"},{"id":"review_status","label":"Review status","score":88,"weight":0.05,"status":"pass","detail":"AI review data available"},{"id":"agent_outcomes","label":"Agent Proven outcomes","score":54,"weight":0.13,"status":"info","detail":"No agent outcome data yet"}],"checks":[{"status":"fail","label":"GitHub adoption","detail":"16 GitHub stars"},{"status":"fail","label":"Stars/forks activity","detail":"16 stars, 3 forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"Pushed today"},{"status":"pass","label":"License clarity","detail":"Apache-2.0"},{"status":"info","label":"README/SKILL.md completeness","detail":"Public metadata needs stronger README/SKILL.md context"},{"status":"info","label":"Dependency/runtime risk","detail":"command execution surface, database surface"},{"status":"pass","label":"Install availability","detail":"npx skills add danicat/skills --skill buffer-analytics"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"warn","label":"Permission surface","detail":"shell or command execution, network or browser access"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/danicat/skills/tree/main/analytics/buffer-analytics"},{"status":"pass","label":"Review status","detail":"AI review data available"},{"status":"info","label":"Agent Proven outcomes","detail":"No agent outcome data yet"},{"status":"warn","label":"Ownership","detail":"No approved owner claim yet"},{"status":"pass","label":"OpenAgentSkill usage","detail":"1 views, 0 install copies"},{"status":"info","label":"Agent outcomes","detail":"No agent outcome data yet"}],"strengths":["AI review approved","Install path is available","Repository evidence is available","Recently maintained repository","Install command has no obvious high-risk pattern"],"warnings":["Low GitHub adoption signal","Quality score needs review","Permission surface needs review: shell or command execution, network or browser access","GitHub adoption: 16 GitHub stars","Stars/forks activity: 16 stars, 3 forks; issue activity unavailable in current metadata","Permission surface: shell or command execution, network or browser access"],"evidence":{"stars":"16 GitHub stars","repoActivity":"16 stars, 3 forks","lastPushed":"Pushed today","license":"Apache-2.0","repository":"https://github.com/danicat/skills/tree/main/analytics/buffer-analytics","install":"npx skills add danicat/skills --skill buffer-analytics","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, network or browser access","documentation":"Usable metadata, review docs","agentOutcomes":"No agent outcome data yet"},"installReadiness":{"ready":true,"command":"npx skills add danicat/skills --skill buffer-analytics","policy":"human_review_before_install","label":"Human review before install","notes":["Install path is available","Repository evidence is available","License is declared","No Agent Proven outcome evidence yet","Pushed today"]},"agentCompatibility":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["Low GitHub adoption signal","Quality score needs review","Permission surface needs review: shell or command execution, network or browser access","GitHub adoption: 16 GitHub stars","Stars/forks activity: 16 stars, 3 forks; issue activity unavailable in current metadata"]},"outcomeEvidence":{"total":0,"successes":0,"failures":0,"notRelevant":0,"successRate":null,"installAttempts":0,"riskBlocked":0,"setupRequired":0,"installSuccessRate":null,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":null,"recentFailureRate":null,"uniqueAgents":0,"agentProvenScore":0,"agentProvenLabel":"Needs first agent run","lastOutcomeAt":null,"label":"No agent outcome data yet"},"autoInstall":{"allowed":false,"sandboxRequired":true,"policy":"human_review_before_install","reason":"Human review or sandbox validation is required before automatic installation."},"bestFor":["data-analysis","agent-skill"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace"],"knownRisks":["Low GitHub adoption signal","Quality score needs review","Permission surface needs review: shell or command execution, network or browser access","GitHub adoption: 16 GitHub stars","Stars/forks activity: 16 stars, 3 forks; issue activity unavailable in current metadata","Permission surface: shell or command execution, network or browser access"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"outcome_stats":null,"safety":{"score":47,"level":"avoid_auto_install","label":"Avoid automatic install","safety_tier":{"tier":"experimental","label":"Experimental","badge":"EXPERIMENTAL","summary":"Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","auto_install_policy":"review","reasons":["High-risk permission hints: Shell or command execution","47/100 agent safety score"]},"auto_install_allowed":false,"human_review_required":true,"blocked":false,"audit_risk":"needs_review","permission_hints":[{"id":"shell","label":"Shell or command execution","reason":"Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.","severity":"high"},{"id":"network","label":"Network access","reason":"Skill likely fetches remote pages, APIs, repositories, or external services.","severity":"medium"},{"id":"database","label":"Database access","reason":"Skill may inspect schemas, query databases, or work with persistent stores.","severity":"medium"}],"policy_warnings":["High-risk permission hints: Shell or command execution","Permission surface may require sandboxing"],"constraints_applied":{"max_risk":"medium","needs_install_command":true,"min_stars":0}},"safety_gate":{"tier":"experimental","label":"Experimental","badge":"EXPERIMENTAL","auto_install_policy":"review","auto_install_allowed":false,"blocked":false,"human_review_required":true,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","reasons":["High-risk permission hints: Shell or command execution","47/100 agent safety score"]},"eval":{"version":"openagentskill-skill-eval-v1","status":"failed","score":65,"risk_level":"high","decision":{"recommendation":"do_not_auto_install","reason":"Permission surface: shell or command execution, network or browser access","auto_install_allowed":false,"policy":"block","human_review_required":true},"blockers":["Permission surface: shell or command execution, network or browser access"],"warnings":["Trust score: Potentially useful, but at least one trust signal needs human inspection.","Audit score: Needs review","Agent safety gate: Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context","High-risk permission hints: Shell or command execution","Permission surface may require sandboxing","Low GitHub adoption signal","Quality score needs review","Permission surface needs review: shell or command execution, network or browser access","GitHub adoption: 16 GitHub stars","Stars/forks activity: 16 stars, 3 forks; issue activity unavailable in current metadata","Permission surface: shell or command execution, network or browser access"],"validation_plan":["Inspect repository, README/SKILL.md, license, and recent commits before production use.","Install in an isolated workspace or sandbox with no production secrets available.","Run the smallest representative task and record files touched, commands run, network access, and outputs.","Compare the selected skill against at least one alternative when the eval status is review or failed.","Promote only after the agent reports a successful verification result and unresolved warnings are accepted."],"checks":[{"id":"task_fit","label":"Task fit","status":"pass","score":84,"required_for_auto_install":true,"detail":"Task wording matches this skill metadata.","evidence":["Evaluate buffer-analytics before installing it in an agent workflow","data-analysis","Database and SQL workflows; Claude Code teams; builders willing to evaluate younger projects"]},{"id":"install_path","label":"Install path","status":"pass","score":92,"required_for_auto_install":true,"detail":"Install handoff is available.","evidence":["npx skills add danicat/skills --skill buffer-analytics"]},{"id":"install_safety","label":"Install command safety","status":"pass","score":92,"required_for_auto_install":true,"detail":"standard package or runtime install path","evidence":["npx skills add danicat/skills --skill buffer-analytics"]},{"id":"trust_score","label":"Trust score","status":"warn","score":70,"required_for_auto_install":true,"detail":"Potentially useful, but at least one trust signal needs human inspection.","evidence":["Manual review","16 GitHub stars","Apache-2.0"]},{"id":"audit_score","label":"Audit score","status":"warn","score":75,"required_for_auto_install":true,"detail":"Needs review","evidence":["Permission surface may require sandboxing"]},{"id":"agent_safety_gate","label":"Agent safety gate","status":"warn","score":47,"required_for_auto_install":true,"detail":"Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","evidence":["Test manually in an isolated workspace and compare against safer alternatives.","High-risk permission hints: Shell or command execution"]},{"id":"readme_skillmd_completeness","label":"README/SKILL.md completeness","status":"warn","score":76,"required_for_auto_install":false,"detail":"Public metadata needs stronger README/SKILL.md context","evidence":["Usable metadata, review docs"]},{"id":"license_clarity","label":"License clarity","status":"pass","score":86,"required_for_auto_install":true,"detail":"Apache-2.0","evidence":["Apache-2.0"]},{"id":"recent_maintenance","label":"Recent maintenance","status":"pass","score":100,"required_for_auto_install":false,"detail":"Pushed today","evidence":["Pushed today"]},{"id":"permission_surface","label":"Permission surface","status":"fail","score":50,"required_for_auto_install":true,"detail":"shell or command execution, network or browser access","evidence":["Shell or command execution: high","Network access: medium","Database access: medium"]},{"id":"alternatives","label":"Alternatives available","status":"info","score":55,"required_for_auto_install":false,"detail":"No close alternatives were found in the current shortlist.","evidence":[]}],"endpoints":{"web":"https://www.openagentskill.com/skills/danicat-buffer-analytics/evals","api":"/api/agent/evals?slug=danicat-buffer-analytics","text":"/api/agent/evals?slug=danicat-buffer-analytics&format=text"}},"agent_readable_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"danicat-buffer-analytics","name":"buffer-analytics","description":"Collect and analyze social media data from Buffer in a local SQLite database. Stores your full post history and metrics across connected channels (such as LinkedIn, X/Twitter, Bluesky, and others) so you can run SQL queries or view reports on engagement, clicks, and views. Activate when you need to analyze social media performance, find the best days or times to post, identify top-performing content, or query Buffer data with SQL.","category":"data-analysis","url":"https://www.openagentskill.com/skills/danicat-buffer-analytics","repository":"https://github.com/danicat/skills/tree/main/analytics/buffer-analytics","github_repo":"danicat/skills"},"suited_tasks":["Database and SQL workflows","Claude Code teams","builders willing to evaluate younger projects","Understand table relationships","Write safer queries","Explain database changes","Navigate pages","Click and type safely"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add danicat/skills --skill buffer-analytics","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install danicat-buffer-analytics"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"buffer-analytics\" agent skill from https://github.com/danicat/skills/tree/main/analytics/buffer-analytics. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Collect and analyze social media data from Buffer in a local SQLite database. Stores your full post history and metrics across connected channels (such as LinkedIn, X/Twitter, Bluesky, and others) so you can run SQL queries or view reports on engagement, clicks, and views. Activate when you need to analyze social media performance, find the best days or times to post, identify top-performing content, or query Buffer data with SQL. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"danicat-buffer-analytics\",\"task\":\"Install buffer-analytics\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"buffer-analytics\" as a Claude Code skill from https://github.com/danicat/skills/tree/main/analytics/buffer-analytics. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Collect and analyze social media data from Buffer in a local SQLite database. Stores your full post history and metrics across connected channels (such as LinkedIn, X/Twitter, Bluesky, and others) so you can run SQL queries or view reports on engagement, clicks, and views. Activate when you need to analyze social media performance, find the best days or times to post, identify top-performing content, or query Buffer data with SQL. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"danicat-buffer-analytics\",\"task\":\"Install buffer-analytics\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"buffer-analytics\" from https://github.com/danicat/skills/tree/main/analytics/buffer-analytics into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Collect and analyze social media data from Buffer in a local SQLite database. Stores your full post history and metrics across connected channels (such as LinkedIn, X/Twitter, Bluesky, and others) so you can run SQL queries or view reports on engagement, clicks, and views. Activate when you need to analyze social media performance, find the best days or times to post, identify top-performing content, or query Buffer data with SQL. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"danicat-buffer-analytics\",\"task\":\"Install buffer-analytics\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/danicat-buffer-analytics/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/danicat-buffer-analytics"},"trust":{"score":70,"label":"Manual review","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"16 GitHub stars","repoActivity":"16 stars, 3 forks","lastPushed":"Pushed today","license":"Apache-2.0","repository":"https://github.com/danicat/skills/tree/main/analytics/buffer-analytics","install":"npx skills add danicat/skills --skill buffer-analytics","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, network or browser access","documentation":"Usable metadata, review docs","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":false,"sandbox_required":true,"reason":"Human review or sandbox validation is required before automatic installation."},"best_for":["data-analysis","agent-skill"],"known_risks":["Low GitHub adoption signal","Quality score needs review","Permission surface needs review: shell or command execution, network or browser access","GitHub adoption: 16 GitHub stars","Stars/forks activity: 16 stars, 3 forks; issue activity unavailable in current metadata","Permission surface: shell or command execution, network or browser access"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"score":75,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Permission surface may require sandboxing","Low GitHub adoption signal","Quality score needs review","Permission surface needs review: shell or command execution, network or browser access","GitHub adoption: 16 GitHub stars","Stars/forks activity: 16 stars, 3 forks; issue activity unavailable in current metadata","Permission surface: shell or command execution, network or browser access"]},"safety_gate":{"tier":"experimental","label":"Experimental","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives."},"quality":{"score":59,"label":"Promising"},"supply":{"track":"Data, BI, and analytics","scenario":"Database and SQL","maintenance":"Pushed today","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","production agents without a repository review","Low GitHub adoption signal","High-risk permission hints: Shell or command execution","Permission surface may require sandboxing","Quality score needs review","Permission surface needs review: shell or command execution, network or browser access","GitHub adoption: 16 GitHub stars"],"agent_contract":{"task_input":"Use buffer-analytics in an agent workflow","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","install_policy":"review","minimum_review_before_use":["Trust: 70/100 Manual review","Audit: 75/100 Needs review","Safety: 47/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"danicat-buffer-analytics (buffer-analytics)","install_command":"npx skills add danicat/skills --skill buffer-analytics","risk_summary":"Needs review; Experimental; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>","skill_slug":"danicat-buffer-analytics","task":"Use buffer-analytics in an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/danicat-buffer-analytics","api":"https://www.openagentskill.com/api/agent/skills/danicat-buffer-analytics","audit":"https://www.openagentskill.com/skills/danicat-buffer-analytics/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=danicat-buffer-analytics&task=Use%20buffer-analytics%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20buffer-analytics%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20buffer-analytics%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/danicat-buffer-analytics/install","manifest":"https://www.openagentskill.com/api/registry/manifest/danicat-buffer-analytics"}},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"danicat-buffer-analytics","name":"buffer-analytics","description":"Collect and analyze social media data from Buffer in a local SQLite database. Stores your full post history and metrics across connected channels (such as LinkedIn, X/Twitter, Bluesky, and others) so you can run SQL queries or view reports on engagement, clicks, and views. Activate when you need to analyze social media performance, find the best days or times to post, identify top-performing content, or query Buffer data with SQL.","category":"data-analysis","url":"https://www.openagentskill.com/skills/danicat-buffer-analytics","repository":"https://github.com/danicat/skills/tree/main/analytics/buffer-analytics","github_repo":"danicat/skills"},"suited_tasks":["Database and SQL workflows","Claude Code teams","builders willing to evaluate younger projects","Understand table relationships","Write safer queries","Explain database changes","Navigate pages","Click and type safely"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add danicat/skills --skill buffer-analytics","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install danicat-buffer-analytics"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"buffer-analytics\" agent skill from https://github.com/danicat/skills/tree/main/analytics/buffer-analytics. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Collect and analyze social media data from Buffer in a local SQLite database. Stores your full post history and metrics across connected channels (such as LinkedIn, X/Twitter, Bluesky, and others) so you can run SQL queries or view reports on engagement, clicks, and views. Activate when you need to analyze social media performance, find the best days or times to post, identify top-performing content, or query Buffer data with SQL. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"danicat-buffer-analytics\",\"task\":\"Install buffer-analytics\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"buffer-analytics\" as a Claude Code skill from https://github.com/danicat/skills/tree/main/analytics/buffer-analytics. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Collect and analyze social media data from Buffer in a local SQLite database. Stores your full post history and metrics across connected channels (such as LinkedIn, X/Twitter, Bluesky, and others) so you can run SQL queries or view reports on engagement, clicks, and views. Activate when you need to analyze social media performance, find the best days or times to post, identify top-performing content, or query Buffer data with SQL. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"danicat-buffer-analytics\",\"task\":\"Install buffer-analytics\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"buffer-analytics\" from https://github.com/danicat/skills/tree/main/analytics/buffer-analytics into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Collect and analyze social media data from Buffer in a local SQLite database. Stores your full post history and metrics across connected channels (such as LinkedIn, X/Twitter, Bluesky, and others) so you can run SQL queries or view reports on engagement, clicks, and views. Activate when you need to analyze social media performance, find the best days or times to post, identify top-performing content, or query Buffer data with SQL. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"danicat-buffer-analytics\",\"task\":\"Install buffer-analytics\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/danicat-buffer-analytics/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/danicat-buffer-analytics"},"trust":{"score":70,"label":"Manual review","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"16 GitHub stars","repoActivity":"16 stars, 3 forks","lastPushed":"Pushed today","license":"Apache-2.0","repository":"https://github.com/danicat/skills/tree/main/analytics/buffer-analytics","install":"npx skills add danicat/skills --skill buffer-analytics","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, network or browser access","documentation":"Usable metadata, review docs","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":false,"sandbox_required":true,"reason":"Human review or sandbox validation is required before automatic installation."},"best_for":["data-analysis","agent-skill"],"known_risks":["Low GitHub adoption signal","Quality score needs review","Permission surface needs review: shell or command execution, network or browser access","GitHub adoption: 16 GitHub stars","Stars/forks activity: 16 stars, 3 forks; issue activity unavailable in current metadata","Permission surface: shell or command execution, network or browser access"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"score":75,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Permission surface may require sandboxing","Low GitHub adoption signal","Quality score needs review","Permission surface needs review: shell or command execution, network or browser access","GitHub adoption: 16 GitHub stars","Stars/forks activity: 16 stars, 3 forks; issue activity unavailable in current metadata","Permission surface: shell or command execution, network or browser access"]},"safety_gate":{"tier":"experimental","label":"Experimental","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives."},"quality":{"score":59,"label":"Promising"},"supply":{"track":"Data, BI, and analytics","scenario":"Database and SQL","maintenance":"Pushed today","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","production agents without a repository review","Low GitHub adoption signal","High-risk permission hints: Shell or command execution","Permission surface may require sandboxing","Quality score needs review","Permission surface needs review: shell or command execution, network or browser access","GitHub adoption: 16 GitHub stars"],"agent_contract":{"task_input":"Use buffer-analytics in an agent workflow","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","install_policy":"review","minimum_review_before_use":["Trust: 70/100 Manual review","Audit: 75/100 Needs review","Safety: 47/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"danicat-buffer-analytics (buffer-analytics)","install_command":"npx skills add danicat/skills --skill buffer-analytics","risk_summary":"Needs review; Experimental; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>","skill_slug":"danicat-buffer-analytics","task":"Use buffer-analytics in an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/danicat-buffer-analytics","api":"https://www.openagentskill.com/api/agent/skills/danicat-buffer-analytics","audit":"https://www.openagentskill.com/skills/danicat-buffer-analytics/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=danicat-buffer-analytics&task=Use%20buffer-analytics%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20buffer-analytics%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20buffer-analytics%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/danicat-buffer-analytics/install","manifest":"https://www.openagentskill.com/api/registry/manifest/danicat-buffer-analytics"}},"supply_profile":{"track":{"slug":"data","label":"Data, BI, and analytics","shortLabel":"Data","description":"CSV, SQL, notebooks, dashboards, data pipelines, BI, ETL, and spreadsheet analysis."},"scenario":{"label":"Database and SQL","description":"I need my agent to inspect database schemas, write SQL, and explain query results.","useCases":[{"slug":"database-sql","title":"Database and SQL"},{"slug":"browser-automation","title":"Browser automation"},{"slug":"research-agents","title":"Research agents"}]},"applicableAgents":["Claude Code","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx skills add danicat/skills --skill buffer-analytics","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":16,"starsLabel":"16","forks":3,"license":"Apache-2.0","qualityScore":59,"trustScore":70,"auditScore":75},"maintenance":{"status":"fresh","label":"Pushed today","daysSincePush":0,"lastPushedAt":"2026-08-23T23:26:16+00:00"},"risk":{"level":"needs_review","label":"Needs review","requiresReview":true,"notes":["Permission surface may require sandboxing","Low GitHub adoption signal","Quality score needs review","Permission surface needs review: shell or command execution, network or browser access","GitHub adoption: 16 GitHub stars"]},"coverageTags":["Data","Database and SQL","data-analysis","agent-skill"]},"audit":{"audit_score":75,"risk_level":"needs_review","risk_label":"Needs review","quality_score":59,"trust_score":70,"maintenance_score":100,"security_score":79,"install_score":92,"warnings":["Permission surface may require sandboxing","Low GitHub adoption signal","Quality score needs review","Permission surface needs review: shell or command execution, network or browser access","GitHub adoption: 16 GitHub stars","Stars/forks activity: 16 stars, 3 forks; issue activity unavailable in current metadata","Permission surface: shell or command execution, network or browser access"]},"quality_signals":{"model":"v2","star_score":8.61,"usage_score":0,"review_score":5.4,"metadata_score":3,"freshness_score":15},"platforms":["Claude Code"],"use_cases":[{"slug":"database-sql","title":"Database and SQL","url":"https://www.openagentskill.com/use-cases/database-sql"},{"slug":"browser-automation","title":"Browser automation","url":"https://www.openagentskill.com/use-cases/browser-automation"},{"slug":"research-agents","title":"Research agents","url":"https://www.openagentskill.com/use-cases/research-agents"},{"slug":"multimodal-media","title":"Multimodal media","url":"https://www.openagentskill.com/use-cases/multimodal-media"}],"stacks":[{"slug":"content-growth-agent","title":"Content growth agent","url":"https://www.openagentskill.com/collections/content-growth-agent"},{"slug":"browser-qa-agent","title":"Browser QA agent","url":"https://www.openagentskill.com/collections/browser-qa-agent"},{"slug":"research-report-agent","title":"Research report agent","url":"https://www.openagentskill.com/collections/research-report-agent"}],"install":"npx skills add danicat/skills --skill buffer-analytics","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install danicat-buffer-analytics","description":"Resolve policy, run the source installer safely, and report a verified install receipt.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"buffer-analytics\" agent skill from https://github.com/danicat/skills/tree/main/analytics/buffer-analytics. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Collect and analyze social media data from Buffer in a local SQLite database. Stores your full post history and metrics across connected channels (such as LinkedIn, X/Twitter, Bluesky, and others) so you can run SQL queries or view reports on engagement, clicks, and views. Activate when you need to analyze social media performance, find the best days or times to post, identify top-performing content, or query Buffer data with SQL. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"danicat-buffer-analytics\",\"task\":\"Install buffer-analytics\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"buffer-analytics\" as a Claude Code skill from https://github.com/danicat/skills/tree/main/analytics/buffer-analytics. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Collect and analyze social media data from Buffer in a local SQLite database. Stores your full post history and metrics across connected channels (such as LinkedIn, X/Twitter, Bluesky, and others) so you can run SQL queries or view reports on engagement, clicks, and views. Activate when you need to analyze social media performance, find the best days or times to post, identify top-performing content, or query Buffer data with SQL. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"danicat-buffer-analytics\",\"task\":\"Install buffer-analytics\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"buffer-analytics\" from https://github.com/danicat/skills/tree/main/analytics/buffer-analytics into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Collect and analyze social media data from Buffer in a local SQLite database. Stores your full post history and metrics across connected channels (such as LinkedIn, X/Twitter, Bluesky, and others) so you can run SQL queries or view reports on engagement, clicks, and views. Activate when you need to analyze social media performance, find the best days or times to post, identify top-performing content, or query Buffer data with SQL. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"danicat-buffer-analytics\",\"task\":\"Install buffer-analytics\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/danicat/skills/tree/main/analytics/buffer-analytics","github_repo":"danicat/skills","version":"1.0.0","license":"Apache-2.0","urls":{"web":"https://www.openagentskill.com/skills/danicat-buffer-analytics","repository":"https://github.com/danicat/skills/tree/main/analytics/buffer-analytics","api":"/api/agent/skills/danicat-buffer-analytics","install_api":"/api/skills/danicat-buffer-analytics/install"},"meta":{"created_at":"2026-08-24T00:36:09.383788+00:00","updated_at":"2026-08-24T00:36:09.383788+00:00","agent_friendly":true}}