agentleFS
summationaisummationai/summation-plugin/skills/opportunities/SKILL.md

opportunities

Skill0 starsChanged 3 months agoMITView on GitHub

Suggest Summation workflows from recent local IDE chats and the live catalog. Use when the user asks what Summation can do for their work, wants workflow ideas, use cases, how you can help, opportunity scan, or after onboarding when they consent to a local chat scan.

2 other projects use a version of this.

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Most recently taken up by

  • Other versions2 projects use a version of this.

    Word for word · 0

    None found.

    Edited · 0

    None found.

    Wrote their own version · 2

    1. ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool★ 432same name
    2. ansvisor/ansvisor★ 233same name

    How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.

  • In this repository14 other files it gives its agents.

The file

We split this skill into the rules it gives an agent

6 rules. About 0 are common, 5 are distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈5

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    If they decline → skip the scan.

    line 20
  2. Distinctive:

    Never paste long chat excerpts.

    line 21
  3. Distinctive:

    Run the bundled scanner (local only, no network).

    line 27
  4. Distinctive:

    When they choose a number → run that skill.

    line 70
  5. Distinctive:

    Prefer catalog-grounded next steps when MCP works.

    line 75
  6. Very specific:

    If not signed in: still list opportunities.

    line 78

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Summation opportunities

Turn recent local IDE chats + what’s already in Summation into a short list of concrete next steps. Privacy first: scan stays on this machine unless the user later runs a normal Summation tool.

When to run

  • User: “what can Summation do for me?”, “workflows”, “use cases”, “how can you help my work?”
  • the opportunities skill
  • Handoff from start after the data gate (only with consent)

Privacy (say this once, plainly)

I can scan recent local Claude Code / Codex sessions on this machine for themes (metrics, SQL, reports, CSVs, …). Nothing is uploaded. I only show short theme summaries, not full transcripts. OK?

  • If they decline → skip the scan; still suggest from live catalog / docs if signed in.
  • Never paste long chat excerpts. Never invent table names.

Flow

1. Local session scan (optional after consent)

Run the bundled scanner (local only, no network). Prefer the plugin root when the host sets it:

# Prefer the spec plugin root; fall back to Claude's name for the same path:
python3 "${PLUGIN_ROOT:-$CLAUDE_PLUGIN_ROOT}/skills/opportunities/scripts/scan_sessions.py" \
  --days 14 --limit-sessions 20 --json \
  --project-substr "$(basename "$(pwd)")"

# If neither variable is set: path relative to this skill’s scripts/ directory:
python3 skills/opportunities/scripts/scan_sessions.py --days 14 --limit-sessions 20 --json

Caps are intentional. Prefer --json and turn themes into customer language yourself. If the scan fails or finds nothing, say so and continue with catalog-only ideas.

2. Live Summation context (if signed in)

MCP: whoami (signin if needed) → list_data_connections / list_connection_datasets / search_tables or the catalog skill as needed.

  • Have named tables → ground each idea in real names.
  • No data yet → opportunities that start with the connect skill or import, not fake schemas.

3. Present 3–5 opportunities

Numbered list. Each item:

  1. Theme — one short phrase (from scan label or catalog).
  2. Why it fits — tie to a redacted sample or a real table (not a wall of chat).
  3. Next step — one skill/action: query, report, validate, connect, catalog, schedule, start.

Map themes roughly:

Scan themePrefer
Metrics / KPIs / “why did it move”query (analyst / ask_analyst for narrative) or ranked SQL with ORDER BY
SQL / warehousecatalog then query; connect if no source
CSV / filesimport / connect then catalog
Board / status / narrativereport → offer validate
Recurring / every Mondayreport then schedule
Data quality / pipelinescatalog + spot-check query
Connect / explore sourceconnect / start

4. Act on their pick

When they choose a number → run that skill. Do not dump the whole menu again.

Rules

  • Local scan only for host chat history — no cloud “conversation intelligence.”
  • Prefer catalog-grounded next steps when MCP works.
  • Product map for “is X supported?” still comes from https://docs.summation.com/llms.txt (see ../api/references/product.md).
  • Outcomes in user chat; no OpenAPI archaeology.
  • If not signed in: still list opportunities; first step is often the signin or start skill.

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