/recap
Summarize the last N agent sessions for the current project, grouped by date, with highlight observations per session. Use when the user asks "recap", "what have we been doing", "today", "this week", or wants a rollup of recent work.
$ npx -y skills add rohitg00/agentmemory --skill recap --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/recap
Context preview
The summary Claude sees to decide when to auto-load this skill.
Summarize the last N agent sessions for the current project, grouped by date, with highlight observations per session. Use when the user asks "recap", "what have we been doing", "today", "this week", or wants a rollup of recent work.
SKILL.md
recap.SKILL.mdname: recap
description: Summarize the last N agent sessions for the current project, grouped by date, with highlight observations per session. Use when the user asks "recap", "what have we been doing", "today", "this week", or wants a rollup of recent work.
argument-hint: "[last N | today | this week]"
user-invocable: true
The user wants a recap. Time window args: $ARGUMENTS
Quick start
memory_sessions { "limit": 30 }Then per surviving session: `memory_recall { "query": "<top concepts>", "limit": 3 }`.
Expected output:
2026-06-07
7f3a9c2 · "Auth refresh rework" · 14 obs · completed
- [8] Rotate refresh tokens on every use
3 sessions across 2 days, 41 observations.Why
Only summarize sessions and observations the tools returned. An empty window is a real answer, not a prompt to invent activity.
Workflow
1. Parse `$ARGUMENTS`: `today` = current local date; `this week` = last 7 days; `last <n>` or bare numeric = most recent N; empty = `last 10`. 2. Call `memory_sessions`, filter to the current project (match `cwd` against the working directory), apply the window, sort by `startedAt` descending. 3. Group survivors by local calendar date (YYYY-MM-DD). 4. Per session list id (first 8), title or first prompt, observation count, status. Indent 2-3 highlights (importance >= 7) from `memory_recall`. 5. End with "N sessions across M days, K observations."
Anti-patterns
WRONG: window is empty, so you summarize "a productive week of auth work" from memory of the conversation.
RIGHT: "No sessions in the last 7 days for this project."
Checklist
- Window parsed correctly from the argument.
- Sessions filtered to the current project's cwd.
- Highlights come from `memory_recall`, not paraphrase.
- Totals line reflects the actual counts shown.
See also
- `handoff`, `session-history`, `recall`: same session data, different lens.
Troubleshooting
See ../_shared/TROUBLESHOOTING.md if `memory_sessions` or `memory_recall` is not available.
Read more
name: recap description: Summarize the last N agent sessions for the current project, grouped by date, with highlight observations per session. Use when the user asks "recap", "what have we been doing", "today", "this week", or wants a rollup of recent work. argument-hint: "[last N | today | this week]" user-invocable: true
The user wants a recap. Time window args: $ARGUMENTS
Quick start
memory_sessions { "limit": 30 }Then per surviving session: `memory_recall { "query": "<top concepts>", "limit": 3 }`.
Expected output:
2026-06-07
7f3a9c2 · "Auth refresh rework" · 14 obs · completed
- [8] Rotate refresh tokens on every use
3 sessions across 2 days, 41 observations.Why
Only summarize sessions and observations the tools returned. An empty window is a real answer, not a prompt to invent activity.
Workflow
1. Parse `$ARGUMENTS`: `today` = current local date; `this week` = last 7 days; `last <n>` or bare numeric = most recent N; empty = `last 10`. 2. Call `memory_sessions`, filter to the current project (match `cwd` against the working directory), apply the window, sort by `startedAt` descending. 3. Group survivors by local calendar date (YYYY-MM-DD). 4. Per session list id (first 8), title or first prompt, observation count, status. Indent 2-3 highlights (importance >= 7) from `memory_recall`. 5. End with "N sessions across M days, K observations."
Anti-patterns
WRONG: window is empty, so you summarize "a productive week of auth work" from memory of the conversation.
RIGHT: "No sessions in the last 7 days for this project."
Checklist
- Window parsed correctly from the argument.
- Sessions filtered to the current project's cwd.
- Highlights come from `memory_recall`, not paraphrase.
- Totals line reflects the actual counts shown.
See also
- `handoff`, `session-history`, `recall`: same session data, different lens.
Troubleshooting
See ../_shared/TROUBLESHOOTING.md if `memory_sessions` or `memory_recall` is not available.
#1 Persistent memory for AI coding agents based on real-world benchmarks
Repo: rohitg00/agentmemory
Other skills on agentmemory.
- /agentmemory-agents
How agentmemory wires into host coding agents via the connect command. Use when installing agentmemory into a specific agent, when asked which agents are supported, or when a connect adapter writes the wrong config path.
Open skill - /agentmemory-architecture
How agentmemory is built, the iii engine primitives it runs on, its storage model, ports, and the viewer. Use when reasoning about how memory is stored or retrieved end to end, when extending the system, or when answering how agentmemory works under the hood.
Open skill - /agentmemory-config
agentmemory configuration, environment variables, ports, and feature flags. Use when enabling a feature, changing ports, setting an API key, configuring auth, or explaining why a feature is off by default.
Open skill - /agentmemory-hooks
The agentmemory plugin hooks that capture observations automatically across the agent session lifecycle. Use when explaining how memory gets captured without manual saves, when debugging missing observations, or when tuning what gets recorded.
Open skill - /agentmemory-mcp-tools
Map of every agentmemory MCP tool, what each does, and its parameters. Use when choosing which memory tool to call, when a tool name or argument is unclear, or when answering what agentmemory can do via MCP.
Open skill - /agentmemory-rest-api
The agentmemory HTTP REST API surface, the primary protocol for talking to the memory server. Use when calling agentmemory over HTTP, when MCP is unavailable and you need a fallback, or when integrating a host that does not speak MCP.
Open skill

