Best for
- User says "meeting prep", "prep my meetings", "prep brief"
- User invokes /p-meeting-prep
- A scheduled cron / launchd job triggers /p-meeting-prep (typically early morning)
jackchuka/skills/p-meeting-prep/SKILL.md
Generate per-meeting prep briefs for today's calendar. Use when the user says "meeting prep", "prep my meetings", "prep brief", or invokes "/p-meeting-prep". Suitable for early-morning scheduled runs.
Decision brief
Generate per-meeting prep briefs for today's calendar. Suitable for early-morning scheduled runs.
Compatibility matrix
| Platform | Status | Evidence | What to check |
|---|---|---|---|
| Codex | Not declared | No explicit evidence | Portability before use |
| Claude Code | Not declared | No explicit evidence | Portability before use |
| Cursor | Not declared | No explicit evidence | Portability before use |
| Gemini CLI | Not declared | No explicit evidence | Portability before use |
Installation
The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.
npx skills add https://github.com/jackchuka/skills --skill "p-meeting-prep"Inspect the Agent Skill "p-meeting-prep" from https://github.com/jackchuka/skills/blob/7b0b33f68b8f11522e43622e5cb3bacd802999d2/p-meeting-prep/SKILL.md at commit 7b0b33f68b8f11522e43622e5cb3bacd802999d2. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.
Workflow
Locate this skill's directory (the folder containing this SKILL.md), then run the resolver script from there:
1. Parse arguments: - --date YYYY-MM-DD (default: today, local time) - --lang ja|en (default: {defaultlang}) - --dry-run (default: false) - --no-open (default: false) 2. Compute: - TARGETDATE: the date to process, YYYY-MM-DD - WEEKDAY: short weekday name (e.g. Tue) - OUTPUTDAYDI…
1. Parse arguments: - --date YYYY-MM-DD (default: today, local time) - --lang ja|en (default: {defaultlang}) - --dry-run (default: false) - --no-open (default: false) 2. Compute: - TARGETDATE: the date to process, YYYY-MM-DD - WEEKDAY: short weekday name (e.g. Tue) - OUTPUTDAYDI…
1. Fetch the day's events. → See references/agent-gather-calendar.md 2. Filter out junk: - Declined events (the user's response is declined). - All-day events. - Events with only one attendee = the user (focus blocks, holds). 3. Classify everything else in a single LLM call. → S…
First, read the attendee cache once — /.cache/p-meeting-prep/attendees.json (see references/attendee-cache.md) — and pass relevant entries to the GitHub and Slack fetches so cached attendees skip live resolution entirely.
Permission review
The documentation asks the agent to run terminal commands or scripts.
python <skill-dir>/scripts/skillctx-resolve.py resolve p-meeting-prepThe documentation asks the agent to run terminal commands or scripts.
python <skill-dir>/scripts/skillctx-resolve.py set p-meeting-prep <key> <value>The documentation includes network, browsing, or remote request actions.
| Category | Fireflies | Slack DMs/mentions | GitHub (attendees) | Slack topic search | Web (candidate) |The documentation asks the agent to create, modify, or delete local files.
Write one file per meeting using `BRIEFS[event_id]`.Evidence record
| Signal | Value | Evidence type | Meaning |
|---|---|---|---|
| Quality score | 89/100 | Computed | Documentation, specificity, maintenance, and trust rules |
| Repository stars | 15 | Source | Repository attention, not individual Skill quality |
| Compatibility | 0 platforms | Source | Declared in the catalog source record |
| Usage guide | automated source guide | Editorial | Generated or reviewed according to the visible evidence level |
Pinned source
Locate this skill's directory (the folder containing this SKILL.md), then run the resolver script from there:
python <skill-dir>/scripts/skillctx-resolve.py resolve p-meeting-prep
The resolver outputs each binding as key: value (one per line). Substitute each {binding_key} placeholder below with the resolved value.
If any values are missing or the user requests changes, use:
python <skill-dir>/scripts/skillctx-resolve.py set p-meeting-prep <key> <value>
Generate per-meeting prep briefs for today's calendar (one markdown file per meeting + an index), writing to {output_dir}/YYYY-MM-DD/.
/p-meeting-prep/p-meeting-prep (typically early morning)gws CLI installed and authenticated (Google Calendar)gh CLI authenticated (gh auth status)p-meeting-prep--date YYYY-MM-DD — Target date. Default: today.--lang ja|en — Output language. Default: {default_lang}.--dry-run — Print briefs to stdout instead of writing files.--no-open — Skip auto-opening the index after generation.--date YYYY-MM-DD (default: today, local time)--lang ja|en (default: {default_lang})--dry-run (default: false)--no-open (default: false)TARGET_DATE: the date to process, YYYY-MM-DDWEEKDAY: short weekday name (e.g. Tue)OUTPUT_DAY_DIR: {output_dir}/{TARGET_DATE} (expand ~ and env vars)gws is on PATH (command -v gws); if missing, fail with a clear error.gh auth status succeeds; if not, fail with a clear error.slack_read_user_profile); if not, mark Slack as UNAVAILABLE and continue.fireflies_get_user); if not, mark Fireflies as UNAVAILABLE and continue.SOURCES_AVAILABLE = {calendar: bool, github: bool, slack: bool, fireflies: bool} for use in Phase 3.references/agent-gather-calendar.mddeclined).references/agent-classify-meetings.mdtopic_key. A cluster is any set of 2+ meetings sharing the same topic_key. Singletons are clusters of one and need no cross-links.MEETINGS = [{event, category, topic_key, cluster_id, …}] for Phase 3.First, read the attendee cache once — ~/.cache/p-meeting-prep/attendees.json (see references/attendee-cache.md) — and pass relevant entries to the GitHub and Slack fetches so cached attendees skip live resolution entirely.
For each meeting, pick the source set from this table:
| Category | Fireflies | Slack DMs/mentions | GitHub (attendees) | Slack topic search | Web (candidate) |
|---|---|---|---|---|---|
| 1:1 | yes | yes | yes | no | no |
| team-sync | yes | no | yes (self) | yes | no |
| external | yes | yes | no | yes | no |
| interview | yes | no | no | no | yes |
| other | no | no | no | no | no |
Fan out all required fetches in parallel within a single tool-use batch where possible. Deduplicate by topic_key: a Fireflies or Slack topic search keyed off topic_key is run once per cluster, not once per meeting.
For each source, follow the corresponding reference:
references/agent-gather-fireflies-meeting-context.mdreferences/agent-gather-slack-meeting-context.mdreferences/agent-gather-github-attendee-context.mdreferences/agent-gather-web-candidate-context.mdIf a source's SOURCES_AVAILABLE flag is false (from Phase 1), skip every call to it and mark the corresponding sections as _(unavailable)_ later in Phase 4.
Each fetch has a soft budget of 15 seconds; on timeout, treat as unavailable for that meeting.
Save results as MEETING_CONTEXT[event_id] = {fireflies, slack_attendees, slack_topic, github, web_candidate}.
For each meeting in MEETINGS:
category:
1:1 → references/template-1on1.mdteam-sync → references/template-team-sync.mdexternal → references/template-external.mdinterview → references/template-interview.mdother → references/template-other.mdMEETING_CONTEXT[event_id], in language {lang}.Related today: line referencing the sibling filenames computed in Phase 5._(no relevant context found)_ rather than being omitted, so the user can tell the skill looked.Store the rendered markdown per event as BRIEFS[event_id]. This completes Pass 1.
Pass 2 — cross-scan (after all briefs are drafted):
Filenames are deterministic from Phase 2 data (chronological order + start time + title slug) — compute them before Pass 2 so both cluster links and overlap links can reference sibling files.
changelog-management).Related today: [<sibling file>](<sibling file>) — <shared attendee or topic, one short clause>
Multiple siblings → comma-separated. Merge with any existing cluster-based Related today: line rather than duplicating it.other-category meetings are excluded from the cross-scan (they have no body and no fetches).OVERLAPS for the index (Phase 5).OUTPUT_DAY_DIR = {output_dir}/<TARGET_DATE> (expand ~).OUTPUT_DAY_DIR already exists:
<OUTPUT_DAY_DIR>.bak/.mv the current OUTPUT_DAY_DIR to <OUTPUT_DAY_DIR>.bak/.OUTPUT_DAY_DIR.NN = zero-padded sequence starting at 01 (the index uses 00).HHMM = local start time, 24-hour, no colon.<slug> = ASCII-folded, lowercase, hyphenated title; collapse runs of non-[a-z0-9] to a single -; trim to 40 chars; strip leading/trailing -.採用:グッズブレストMTG → saiyo-goods-brainstorm-mtg. Same 40-char cap and collision rule.NN-HHMM-<slug>.md.00-index.md first:# Meeting prep — <TARGET_DATE> (<WEEKDAY>)
<N> meetings · <K> categories · <C> clusters
## Today
- HH:MM **<title>** `[category]` → [NN-HHMM-slug.md](NN-HHMM-slug.md)<` · cluster: <topic_key>` if cluster size ≥ 2>
... (one bullet per meeting, chronological)
## Clusters
- `<topic_key>` — <count> meetings (HH:MM, HH:MM, ...)
... (only clusters with size ≥ 2)
## Overlaps
- <shared attendee or topic> — <count> meetings (HH:MM, HH:MM, ...)
... (from Pass 2 cross-scan; omit the section when `OVERLAPS` is empty)
If N == 0, the index body is No meetings today. and no per-meeting files are written.
BRIEFS[event_id].~/.cache/p-meeting-prep/attendees.json (read-modify-write; see references/attendee-cache.md).00-index.md and a one-line summary (N meetings · K categories · C clusters).uname -s = Darwin), unless --no-open or --dry-run, run open "<00-index.md>".--dry-run, do NOT touch the filesystem at all. Instead, print to stdout: the index body, then each brief separated by ---.| Error | Action |
|---|---|
gws not installed or not authenticated | Abort with clear error message. The calendar is required. |
gh not authenticated | Mark GitHub UNAVAILABLE; continue. Add a warning to the top of 00-index.md. |
| Slack MCP unavailable | Mark Slack UNAVAILABLE; continue. Slack sections render as _(unavailable)_. |
| Fireflies MCP unavailable | Mark Fireflies UNAVAILABLE; continue. Fireflies sections render as _(unavailable)_. |
| Classification LLM call fails / bad JSON | Treat every meeting as other. Add a warning to the top of 00-index.md. |
| Per-meeting source fetch timeout (15s) | Section renders as _(unavailable)_. No retry within this run. |
OUTPUT_DAY_DIR exists from a prior run | Rename to <dir>.bak/ (replacing any prior backup) before writing. |
| Attendee cache missing / corrupt JSON | Treat as empty cache; resolve live; rewrite the file at end of run. |
| Calendar empty for the target date | Write 00-index.md with body No meetings today. Exit 0. |
--dry-run set | Print to stdout only. Do not touch the filesystem. Do not call open. |
| Filename slug collision (rare) | Append -2, -3, … to the slug until unique within the day's directory. |
This skill is user-triggered. Two recipes for running it automatically each morning are documented in references/cron-recipes.md. Whichever you pick, ensure the scheduled environment inherits credentials for gh, gws, the Slack MCP server, and the Fireflies MCP server.
Alternatives
event4u-app/agent-config
Use when the user says "review the design", "check the UI", or wants a comprehensive UI/UX review. Uses a 7-phase methodology covering interaction, responsiveness, accessibility, and more.
K-Dense-AI/scientific-agent-skills
Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars.
K-Dense-AI/scientific-agent-skills
Medicinal chemistry filters for compound triage. Apply drug-likeness rules (Lipinski, Veber, CNS), structural alert catalogs (PAINS, NIBR, ChEMBL), complexity metrics, and the medchem query language for library filtering.
K-Dense-AI/scientific-agent-skills
Use NeuroKit2 to build or audit reproducible research workflows for physiological time-series preprocessing, event/interval analysis, multimodal alignment, variability, and complexity. Trigger when code imports neurokit2 or needs its current APIs, schemas, and method-aware validation—not for diagnosis or device validation.