/weekly-digests

name: weekly-digests
description: Generate a serial week-by-week narrative digest of a project's full claude-mem timeline. Splits the timeline into per-ISO-week files, then runs one consecutive subagent per week — each receiving the prior week's carry-forward block — to produce one chapter per ISO week of data. Use when asked for "weekly digests", "week-by-week story", "serial timeline", or "narrative chapters" of a project's history.

Weekly Digests

Produce a serial, multi-chapter narrative digest of a project's complete claude-mem history. Differs from `timeline-report` (one long report) — this generates one digest *per ISO week*, with each subagent reading the prior week's carry-forward block so the story stays coherent.

**The chapter count equals the number of ISO weeks the timeline covers.** A project with 2 weeks of data produces 2 chapters; one with 30 weeks produces 30. There is no fixed length — count the weeks first, then drive the pipeline off that count.

When to Use

Trigger when the user asks for:

• "Weekly digests"
• "Week-by-week story"
• "Serial timeline"
• "Story chapters of [project]"
• "Run a digest for each week"
• "Continue the story week by week"

If the user wants a single sweeping report, use `timeline-report` instead. This skill is for serial chapter format.

Prerequisites

• claude-mem worker running
• Project has at least one ISO week of observations (the pipeline degenerates gracefully — even N=1 works)
• A clean output directory the user is comfortable writing into

**Resolve the worker port** (do this once, reuse `$WORKER_PORT`):

WORKER_PORT="${CLAUDE_MEM_WORKER_PORT:-$(node -e "const fs=require('fs'),p=require('path'),os=require('os');const uid=(typeof process.getuid==='function'?process.getuid():77);const fallback=String(37700+(uid%100));try{const s=JSON.parse(fs.readFileSync(p.join(os.homedir(),'.claude-mem','settings.json'),'utf-8'));process.stdout.write(String(s.CLAUDE_MEM_WORKER_PORT||fallback));}catch{process.stdout.write(fallback);}" 2>/dev/null)}"

Workflow

Step 1: Determine the Project Name

Same worktree-detection pattern as `timeline-report`. In a worktree, the data source is the **parent project**:

git_dir=$(git rev-parse --git-dir 2>/dev/null)
git_common_dir=$(git rev-parse --git-common-dir 2>/dev/null)
if [ "$git_dir" != "$git_common_dir" ]; then
  parent_project=$(basename "$(dirname "$git_common_dir")")
else
  parent_project=$(basename "$PWD")
fi
echo "$parent_project"

Step 2: Fetch the Full Timeline and Save It

mkdir -p .scratch
curl -s "http://localhost:${WORKER_PORT}/api/context/inject?project=PROJECT_NAME&full=true" \
  > .scratch/cm-timeline.md
wc -l .scratch/cm-timeline.md

Sanity-check: confirm the file is non-empty and has the expected structure (preamble, then date headers like `### Mon DD, YYYY`, then numeric observation lines `<id> <time> <emoji> <title>` and session boundary lines `S<n> <prompt> (Mon DD at HH:MMpm)`).

Step 3: Split the Timeline Into Per-ISO-Week Files

Write a Python script to `.scratch/split-timeline.py` that:

1. Parses date headers (`### Mon DD, YYYY`). 2. Groups days into ISO weeks via `date.isocalendar()` (Monday-start). 3. Emits one file per week to `docs/timeline-weeks/<YYYY>-W<NN>-<MonDD>-to-<MonDD>.md`, preserving each day's section verbatim. 4. Runs a dual-pass sanity check: total observations distributed must equal the count in the source file.

Output structure (filenames illustrative):

docs/timeline-weeks/
  README.md                       # weekly index table
  YYYY-W<NN>-MonDD-to-MonDD.md    # one per ISO week the timeline covers
  ...

Each weekly file should preserve the original daily sections verbatim. Do not paraphrase at this stage — the digest agents need raw fidelity.

**Count the resulting files** before launching the pipeline. That count is `TOTAL` and drives every subsequent step. Empty weeks (zero observations between active weeks) should be skipped — the pipeline only operates on weeks that have content.

Step 4: Build the Weekly Index README

Write `docs/timeline-weeks/README.md` with a markdown table: Week | Dates | Observations | Sessions | File. This becomes the operator's roadmap and helps the agents understand pacing (peak weeks vs trough weeks).

Step 5: Run the Consecutive Subagent Pipeline

**Critical: subagents run sequentially, NOT in parallel.** Each agent receives the prior agent's carry-forward block. This is the entire point of the skill — without it you have N disjoint summaries; with it you have an N-chapter serial narrative.

Create the output directory:

mkdir -p docs/timeline-weeks/digests

For each week, in chronological order, dispatch a Task subagent (general-purpose) with this prompt template. **Wait for each agent to complete before launching the next.** Capture the carry-forward block from the result and inject it as `STORY_SO_FAR` into the next prompt.

Subagent Prompt Template

You are writing chapter {N} of {TOTAL} in a serial week-by-week digest of the {PROJECT} project's development history. Chapters 1 through {N-1} are written. {SPECIAL_NOTE: e.g. "This is the LARGEST week", "This is the TROUGH", "This is the FINAL chapter", "This is the ONLY chapter — both first AND final week"}.

**Source file (read in full):**
{ABSOLUTE_PATH_TO_WEEK_FILE}

**Output digest file (write):**
{ABSOLUTE_PATH_TO_DIGEST_FILE}

**Format key for the source file:**
- Numeric lines like `1 7:59p 🔵 Save hook file is empty` are observations (ID, time, type-emoji, title)
- `S##` lines are session boundaries (the user prompt that started the session)
- Emoji legend: 🎯session 🔴bugfix 🟣feature 🔄refactor ✅change 🔵discovery ⚖️decision 🚨security_alert 🔐security_note 🤫sensitive

**Story so far (carry-forward from Week {N-1}):**

{STORY_SO_FAR_BLOCK_OR_EMPTY_FOR_WEEK_1}

**Your digest must include:**
1. **Title line** — `# Week {N} ({WEEK_LABEL}): {DATE_RANGE} — [your