instrument-data-to-all…
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when…
Generate a weighted sales forecast with best/likely/worst scenarios, commit vs. upside breakdown, and gap analysis. Use when preparing a quarterly forecast call, assessing gap-to-quota from a pipeline CSV, deciding which deals to commit vs. call upside, or checking pipeline
$ npx -y skills add anthropics/knowledge-work-plugins --skill forecast --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/forecastContext preview
The summary Claude sees to decide when to auto-load this skill.
Generate a weighted sales forecast with best/likely/worst scenarios, commit vs. upside breakdown, and gap analysis. Use when preparing a quarterly forecast call, assessing gap-to-quota from a pipeline CSV, deciding which deals to commit vs. call upside, or checking pipeline
name: forecast description: Generate the commit / best-case / pipeline narrative for a forecast call or a 1:1 with your manager - what's closing, what's at risk, what changed since last time. Use when the user asks "write my forecast", "forecast narrative", "prep for forecast call", "prep for my quarterly forecast call", "which deals should I commit vs. call upside", "forecast from this pipeline export", or "prep for my 1:1 with my manager". argument-hint: "<period>"
**Rules (apply to every step of this skill):**
Turn crm opportunity data into the narrative a rep or leader delivers in a forecast review: the number, the deals behind it, what changed, and where the risk is.
| Tool type | Used for | Required? | |---|---|---| | crm | the quarter's open + closed pipeline; category fixes | no (files fallback: uploaded pipeline export) |
Scope - "my forecast" (default), a named rep, or a team rollup; period - current quarter (default); prior snapshot - optional, paste last week's narrative for delta detection.
Check which tools are connected (plus any org facts the user or the project instructions already gave). Ground the stage-to-bucket mapping (which stages count as Commit vs Best Case vs Pipeline) and field names from the live crm schema and org context (inferred from what is connected or uploaded; if the answer depends on a fact no one has given, ask ONE question, use the answer for this conversation and suggest adding it to the project instructions; otherwise use a clearly labeled default and continue). If the schema carries a native forecast-category field, prefer it over stage inference. Every deal named links to its record.
From the CRM: open opps in scope closing this period (stage, forecast category, amount, close date, next step, last activity, owner), plus closed-won this period for the "in the bank" number. Bucket into Closed Won / Commit / Best Case / Pipeline.
If a prior snapshot was provided, diff it: deals that moved up, slipped out, were added, or were lost. Otherwise query opportunity history if the CRM exposes it, or skip this section and say so.
For each Commit and Best Case deal (the ones that matter for the call), one line: where it is, what's needed to close, risk if any - grounded on next step and last activity as read. For leader rollups across many reps, collapse to the top 5 by amount.
The number table (Closed Won / Commit / Best Case / Pipeline, $ and count,
Plugins that turn Claude into a specialist for your role, team, and company. Built for Claude Cowork, also compatible with Claude Code.
Repo: anthropics/knowledge-work-plugins
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