orient-digest

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更新时间2026年6月4日 17:24

Weekly personal orientation digest for Stephanie over the code-intel-digest mirror. Use when she wants to catch up on the last ~7 days of AI/dev/research news for herself (not to share). Signal-dense, terse, assumes Stephanie-level context. For share-ready output, use distill-digest instead. Requires the code-intel-copilot MCP server.

安装

用 Codex 或 Claude 帮你安装复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。

来源

sjarmak

sjarmak/code-intelligence-digest

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Orient Digest

Personal situational-awareness digest. Audience: Stephanie only. She already knows the landscape — this is catch-up, not onboarding. Skip explanations of things she obviously knows (what Cursor is, what MCP is, what SCIP stands for).

Always do first

Call mirror_status exactly once and check dbMode. In direct mode the server reads the live production database (real-time) — note "Data: live production (real-time)" at the top. In mirror mode, if staleMinutes > 90 warn and ask before continuing; otherwise note freshness in one line ("Data through ").
Ask for a lens/prioritization once via AskUserQuestion — offer 3-4 options drawn from the default watchlist (below) plus "let the data pick". Skip this step if she already specified one in her prompt.

Defaults

Time window: rolling 7 days (since = today - 7d as ISO date). Only deviate if she asks.
Format: themed sections. For each theme: 1-2 sentence synthesis, then 2-5 items as a tight bulleted list (- [title](url) — one clause why-it-matters). 3-6 themes total.
Length: short. ~300-500 words total. She's orienting, not studying.
Output: inline (no file write unless she asks).

Watchlist (boost when ranking)

Competitive AI-coding-tool market — Cursor, Copilot, Claude Code, Codex, Windsurf, Augment, CodeRabbit, Cognition/Devin, GitLab Duo. Launches, market-share data, pricing, narrative shifts.
Enterprise AI rollouts & case studies — named-company posts about internal platforms, adoption numbers, ROI claims (Cloudflare, Meta, Intercom, Atlassian, etc.).
Code context / codebase understanding / SCIP / MCP — the core Sourcegraph thesis. Anything about agent context, repo-level tools, long-context code navigation, cross-repo intelligence.

De-prioritize

Reddit / community venting posts. Keep only if they show a clear buyer-sentiment shift (e.g., multiple threads on the same pain point, or someone canceling a subscription and explaining why in detail). Skip anecdote-only threads.

Core principles

Cite URL inline for every item mentioned. No bare titles.
Don't overclaim. "3 items discussing X" ≠ "the industry is doing X".
Respect avgFinalScore from aggregate_items — higher = more useful-to-Stephanie signal.
Dates: prefer since=YYYY-MM-DD as ISO (7 days before today).
No enumeration. Summarize, group, synthesize.
No hand-holding. No "what is MCP?" explanations. No "this means Sourcegraph should consider..." framings. Just the signal.

Recipe

mirror_status.
Ask for lens unless prompt specifies one.
Gather candidates:
- search_items(since=<7d>, limit=50) — general sweep.
- aggregate_items(group_by='source', since=<7d>, limit=15) — see who's active.
- For each watchlist pillar she prioritized, run a targeted semantic_search_items query (limit 10-15 each).
De-dup by id. Drop anything matching the de-prioritize list unless it's flagged as buyer-sentiment shift.
Cluster into 3-6 themes by what's actually strong this week (not a forced template).
For each theme: 1-sentence synthesis + 2-5 items.
End with "What I'd watch next week" — 1-3 specific signals to check on.

Guardrails

Don't write Sourcegraph-GTM angles here — that's distill-digest's job. This is for Stephanie orienting.
If a theme only has 1 item, either promote it to a standalone callout or drop it. No themes-of-one.
Sourcegraph and Amp are separate companies; treat Amp as a competitor, not a Sourcegraph product.
If 0 items match the lens she picked, say so directly and offer a fallback lens.

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digest-insights

sjarmak/code-intelligence-digest

Answer insight-style questions about recent dev/AI/research news using the code-intel-digest local mirror (hourly-refreshed Postgres). Use when the user asks what's trending, wants a weekly roundup/podcast-script, asks how a topic is being discussed, or wants a ranked list of items to read. Requires the code-intel-copilot MCP server to be registered (`claude mcp add code-intel-copilot -- npx tsx /absolute/path/to/src/mcp/server.ts`).

2026-06-042

distill-digest

sjarmak/code-intelligence-digest

Weekly share-ready digest from the code-intel-digest mirror, formatted for Stephanie to paste/forward to internal team Slack/email or use as sales enablement / competitive intel. Output is polished enough to ship with light editing. For personal catch-up, use orient-digest instead. Requires the code-intel-copilot MCP server.

2026-06-042

podcast-digest

sjarmak/code-intelligence-digest

Generate a weekly podcast (script + rendered mp3) from the code-intel-digest mirror. Configurable length (default 30 min). Use when Stephanie says 'make me a podcast', 'generate this week's podcast', 'render the digest as audio', etc. Produces both the markdown script and the mp3 in out/. Requires the code-intel-copilot MCP server.

2026-06-042

name	orient-digest
description	Weekly personal orientation digest for Stephanie over the code-intel-digest mirror. Use when she wants to catch up on the last ~7 days of AI/dev/research news for herself (not to share). Signal-dense, terse, assumes Stephanie-level context. For share-ready output, use distill-digest instead. Requires the code-intel-copilot MCP server.
allowed-tools	mcp__code-intel-copilot__search_items, mcp__code-intel-copilot__semantic_search_items, mcp__code-intel-copilot__get_item, mcp__code-intel-copilot__aggregate_items, mcp__code-intel-copilot__mirror_status, Read, Write, AskUserQuestion

Orient Digest

Always do first

Call mirror_status exactly once and check dbMode. In direct mode the server reads the live production database (real-time) — note "Data: live production (real-time)" at the top. In mirror mode, if staleMinutes > 90 warn and ask before continuing; otherwise note freshness in one line ("Data through ").
Ask for a lens/prioritization once via AskUserQuestion — offer 3-4 options drawn from the default watchlist (below) plus "let the data pick". Skip this step if she already specified one in her prompt.

Defaults

Time window: rolling 7 days (since = today - 7d as ISO date). Only deviate if she asks.
Format: themed sections. For each theme: 1-2 sentence synthesis, then 2-5 items as a tight bulleted list (- [title](url) — one clause why-it-matters). 3-6 themes total.
Length: short. ~300-500 words total. She's orienting, not studying.
Output: inline (no file write unless she asks).

Watchlist (boost when ranking)

Competitive AI-coding-tool market — Cursor, Copilot, Claude Code, Codex, Windsurf, Augment, CodeRabbit, Cognition/Devin, GitLab Duo. Launches, market-share data, pricing, narrative shifts.
Enterprise AI rollouts & case studies — named-company posts about internal platforms, adoption numbers, ROI claims (Cloudflare, Meta, Intercom, Atlassian, etc.).
Code context / codebase understanding / SCIP / MCP — the core Sourcegraph thesis. Anything about agent context, repo-level tools, long-context code navigation, cross-repo intelligence.

De-prioritize

Reddit / community venting posts. Keep only if they show a clear buyer-sentiment shift (e.g., multiple threads on the same pain point, or someone canceling a subscription and explaining why in detail). Skip anecdote-only threads.

Core principles

Cite URL inline for every item mentioned. No bare titles.
Don't overclaim. "3 items discussing X" ≠ "the industry is doing X".
Respect avgFinalScore from aggregate_items — higher = more useful-to-Stephanie signal.
Dates: prefer since=YYYY-MM-DD as ISO (7 days before today).
No enumeration. Summarize, group, synthesize.
No hand-holding. No "what is MCP?" explanations. No "this means Sourcegraph should consider..." framings. Just the signal.

Recipe

mirror_status.
Ask for lens unless prompt specifies one.
Gather candidates:
- search_items(since=<7d>, limit=50) — general sweep.
- aggregate_items(group_by='source', since=<7d>, limit=15) — see who's active.
- For each watchlist pillar she prioritized, run a targeted semantic_search_items query (limit 10-15 each).
De-dup by id. Drop anything matching the de-prioritize list unless it's flagged as buyer-sentiment shift.
Cluster into 3-6 themes by what's actually strong this week (not a forced template).
For each theme: 1-sentence synthesis + 2-5 items.
End with "What I'd watch next week" — 1-3 specific signals to check on.

Guardrails

Don't write Sourcegraph-GTM angles here — that's distill-digest's job. This is for Stephanie orienting.
If a theme only has 1 item, either promote it to a standalone callout or drop it. No themes-of-one.
Sourcegraph and Amp are separate companies; treat Amp as a competitor, not a Sourcegraph product.
If 0 items match the lens she picked, say so directly and offer a fallback lens.