agentleFS
first-flukefirst-fluke/fullstack-starter/.agents/skills/oma-recap/SKILL.md

oma-recap

Skill223 starsChanged 28 days agoMITView on GitHub

Summarize AI conversation histories for a specified date or period. Use for daily work recaps and cross-tool activity summaries.

We split this skill into the rules it gives an agent

16 rules. About 0 are common, 11 are distinctive, and 5 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈11

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 5

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    ACT: Write recap Markdown in the required format.

    line 61
  2. Distinctive:

    VERIFY: Check that every completion claim has direct evidence, then check grouping, language, and output path.

    line 62
  3. Very specific:

    If no date is specified, use today via --date (bare --window is a rolling window ending now, not calendar-aligned).

    line 66
  4. Distinctive:

    If window is 3 days or longer, group by project instead of day chronology.

    line 67
  5. Distinctive:

    If CLI is unavailable, use Claude fallback only and report scope limits.

    line 68
  6. Distinctive:

    If tasks are under threshold, group them into Miscellaneous or Side Projects.

    line 69
  7. Distinctive:

    If history is unavailable, report missing source and requested range.

    line 72
  8. Distinctive:

    If timestamps are ambiguous, use configured timezone and state assumption.

    line 73
  9. Distinctive:

    If extracted data is sparse, produce a concise recap and note limited coverage.

    line 74
  10. Distinctive:

    Overview: After TL;DR, describe the flow.

    line 125
  11. Very specific:

    Save results: Write markdown to .agents/results/recap/.

    line 131
  12. Very specific:

    No em dashes: Use commas, periods, or parentheses instead of — (em dash).

    line 133
  13. Very specific:

    No date specified → today, resolved to --date YYYY-MM-DD (bare --window 1d is a rolling 24-hour window ending now, not the calendar day)

    line 146
  14. Distinctive:

    Read all extracted data and analyze with the following criteria:

    line 198
  15. Distinctive:

    Only classify as a separate theme if the work spans 15+ minutes (based on timestamp gaps and prompt count)

    line 201
  16. Very specific:

    Use the markdown templates in resources/output-formats.md:

    line 221

≈ “Common” is an estimate: at least 1 in 5 of the 308,232 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

AI Tool Conversation History Summary

Analyze AI tool conversation histories for a given period and generate themed work summaries.

Scheduling

Goal

Collect AI tool conversation history for a date or window and synthesize it into a themed, project-oriented recap with saved Markdown output.

Intent signature

  • User asks for daily recap, weekly/monthly summary, standup notes, work log, tool usage pattern, or AI conversation history analysis.
  • User wants conversation histories grouped by work content rather than raw chronological logs.

When to use

  • Summarizing a day or period of work activity
  • Understanding the overall flow of work across multiple AI tools
  • Analyzing tool-switching patterns between sessions
  • Preparing daily standups, weekly retros, or work logs

When NOT to use

  • Git commit-based code change retrospective -> use oma retro
  • Real-time agent monitoring -> use oma dashboard terminal
  • Productivity metrics -> use oma stats get

Expected inputs

  • Date, relative date, time window, or tool filter
  • Conversation history available through oma recap --json or fallback sources
  • Desired daily or multi-day recap scope

Expected outputs

  • Markdown recap saved to .agents/results/recap/{date}.md or range filename
  • TL;DR, overview, themes/projects, miscellaneous or side projects, and tool usage patterns
  • User-facing summary in configured response language

Dependencies

  • oma recap --json
  • Optional Claude fallback history at ~/.claude/history.jsonl
  • .agents/oma-config.yaml for language behavior

Control-flow features

  • Branches by date resolution, window length, available tool history, and daily vs multi-day output shape
  • Reads local history data and writes Markdown recap files
  • Groups by content, not by tool

Structural Flow

Entry

  1. Resolve requested date or window.
  2. Collect normalized conversation history.
  3. Decide daily versus multi-day output structure.

Scenes

  1. PREPARE: Resolve time range and tool filters.
  2. ACQUIRE: Collect history through CLI or fallback; retain completion evidence where available.
  3. REASON: Group by content and classify each item as requested, in progress, or completed from its evidence.
  4. ACT: Write recap Markdown in the required format.
  5. VERIFY: Check that every completion claim has direct evidence, then check grouping, language, and output path.
  6. FINALIZE: Save and display summary.

Transitions

  • If no date is specified, use today via --date (bare --window is a rolling window ending now, not calendar-aligned).
  • If window is 3 days or longer, group by project instead of day chronology.
  • If CLI is unavailable, use Claude fallback only and report scope limits.
  • If tasks are under threshold, group them into Miscellaneous or Side Projects.

Failure and recovery

  • If history is unavailable, report missing source and requested range.
  • If timestamps are ambiguous, use configured timezone and state assumption.
  • If extracted data is sparse, produce a concise recap and note limited coverage.

Exit

  • Success: recap file exists and summary is displayed.
  • Partial success: missing tools/history or fallback-only coverage is explicit.

Logical Operations

Actions

ActionSSL primitiveEvidence
Resolve date/windowINFERNatural-language date rules
Collect historyCALL_TOOLoma recap --json or jq fallback
Read extracted recordsREADConversation history
Group and classify themes/projectsINFERTime/content rules plus prompt, progress, completion, receipt, or artifact evidence
Validate output shapeVALIDATEDaily or multi-day template
Write recapWRITE.agents/results/recap/
Report summaryNOTIFYDisplayed recap

Tools and instruments

  • oma recap --json
  • jq fallback for Claude history
  • Markdown output templates

Canonical command path

oma recap --date YYYY-MM-DD --json
oma recap --window 7d --json
oma recap --json  # rolling last 24h, not "today"

Resource scope

ScopeResource target
LOCAL_FSConversation history and recap output files
PROCESSoma recap, jq, date commands
USER_DATAConversation prompts and project activity
MEMORYTheme grouping and summary notes

Preconditions

  • Requested time range can be resolved.
  • At least one history source is available.

Effects and side effects

  • Writes recap Markdown under .agents/results/recap/.
  • Reads local conversation history data.

Guardrails

  1. Evidence status: A prompt alone proves a request, not a result. Mark work completed only with an explicit completion/result message, a receipt, or an artifact that supports the stated outcome. Mark it in progress with progress evidence; otherwise call it requested. Do not infer completion from a tool invocation or elapsed time.
  2. TL;DR required: Top 3 supported outcomes. Use "completed" only when the evidence-status rule permits it; otherwise summarize requested or in-progress work plainly. Project name + status/outcome. No tool names or unnecessary detail.
  3. Overview: After TL;DR, describe the flow. Start with "I" as subject and preserve evidence status.
  4. Daily: themes by time block (15+ min). Rest goes to "Miscellaneous".
  5. Multi-day (3d+): sections by project, ordered by activity. Read like a sprint report, not a daily log.
  6. 2-4 bullets per theme/project: Concise essentials only. Don't enumerate every step.
  7. Themes by content: Group by actual work, not by tool.
  8. Time range (daily only): (AM/PM/Evening HH:MM~HH:MM). AM: 12:00, PM: 12:0018:00, Evening: 18:00~.
  9. Save results: Write markdown to .agents/results/recap/.
  10. Response language: Follows language setting in .agents/oma-config.yaml if configured.
  11. No em dashes: Use commas, periods, or parentheses instead of — (em dash).

Process

1. Resolve Date

Determine the target date or window from the user's natural language input. Default is today.

Resolution rules:

  • Relative day references (today, yesterday, day before yesterday, etc.) → calculate --date YYYY-MM-DD
  • Specific date mentions (month + day, or full date) → convert to --date YYYY-MM-DD
  • Relative weekday references (last Monday, this Friday, etc.) → calculate the date
  • Period references (this week, last 3 days, past 2 weeks, etc.) → convert to --window Nd
  • No date specified → today, resolved to --date YYYY-MM-DD (bare --window 1d is a rolling 24-hour window ending now, not the calendar day)
  • The CLI caps windows at 30 days (longer values are trimmed with a warning) — when a requested period gets capped, say so in the recap

2. Collect Data

Extract normalized conversation history via CLI.

# Today (calendar day, all tools)
oma recap --date $(date +%F) --json

# Last 24 hours (rolling window ending now)
oma recap --json

# Time window (rolling, ends now; capped at 30d)
oma recap --window 7d --json

# Specific date
oma recap --date 2026-04-10 --json

# Tool filter (supported: grok, claude, codex, gemini, qwen, cursor, antigravity)
oma recap --tool claude,codex --json

Fallback when CLI is not installed: process Claude history only via inline jq:

# Uses the system timezone; export TZ=<zone> first to override, and state the
# timezone assumption in the recap (per the Failure and recovery rules).
TARGET_DATE=$(date +%Y-%m-%d)
# macOS/BSD date: advance the calendar date, then parse both local midnights.
next_date=$(date -j -v+1d -f "%Y-%m-%d %H:%M:%S" "${TARGET_DATE} 12:00:00" +%Y-%m-%d)
start_ts=$(date -j -f "%Y-%m-%d %H:%M:%S" "${TARGET_DATE} 00:00:00" +%s)000
end_ts=$(date -j -f "%Y-%m-%d %H:%M:%S" "${next_date} 00:00:00" +%s)000
# Linux/GNU date alternatives (replace all three lines above):
# next_date=$(date -d "${TARGET_DATE} 12:00:00 tomorrow" +%Y-%m-%d)
# start_ts=$(date -d "${TARGET_DATE} 00:00:00" +%s)000
# end_ts=$(date -d "${next_date} 00:00:00" +%s)000
# Do not add a fixed 24 hours: DST calendar days can have 23 or 25 hours.

jq -r --argjson start "$start_ts" --argjson end "$end_ts" '
  select(.timestamp >= $start and .timestamp < $end and .display != null and .display != "") |
  {
    time: (.timestamp / 1000 | localtime | strftime("%H:%M")),
    project: (.project | split("/") | .[-1]),
    prompt: (.display | gsub("\n"; " ") | if length > 150 then .[0:150] + "..." else . end)
  }
' ~/.claude/history.jsonl

3. Theme Analysis and Grouping

Read all extracted data and analyze with the following criteria:

Grouping rules:

  • Only classify as a separate theme if the work spans 15+ minutes (based on timestamp gaps and prompt count)
  • Merge consecutive prompts on the same topic into one theme
  • Collect sub-15-minute tasks into a "Miscellaneous" section
  • Group by work content, not by tool

Cross-tool analysis:

  • Track workflow when multiple tools are used in the same time window
  • Example: "Designed in Antigravity -> Implemented in Claude -> Reviewed in Codex"
  • Derive insights from tool-switching patterns

Extract from each theme:

  • Core work performed
  • Key decisions made
  • Tool combinations used
  • Artifacts produced (docs, code, config, etc.)

4. Output Format

Save results to .agents/results/recap/{date}.md and display simultaneously.

Use the markdown templates in resources/output-formats.md:

  • Daily format (1d or specific date): TL;DR → Overview → time-blocked themes → Miscellaneous → Tool Usage Patterns.
  • Multi-day format (3d+): project-driven sprint-report structure with Side Projects for small (<30 prompts) work; follow the multi-day grouping rules in the same file.

Response language follows language setting in .agents/oma-config.yaml.

5. Save Results

Save to .agents/results/recap/{date}.md. For window ranges, use {start-date}~{end-date}.md format.

# Example paths
.agents/results/recap/2026-04-12.md
.agents/results/recap/2026-04-06~2026-04-12.md

References

  • Output format templates: resources/output-formats.md
  • Recap CLI: oma recap --json
  • Output directory: .agents/results/recap/
  • Language config: .agents/oma-config.yaml
  • Claude fallback history: ~/.claude/history.jsonl

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

Reviews can't be read right now.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.