Intent — semantic recording guide
Record semantic history (.intent/) — goals, snapshots, and decisions that persist across agent sessions. Triggered when user asks to record semantics.
Free to install — no account needed
Copy the command below and paste into your agent.
Instant access • No coding needed • No account needed
What you get in 5 minutes
- Full skill code ready to install
- Works with 4 AI agents
- Lifetime updates included
Description
--- name: intent-cli description: Record semantic history (.intent/) — goals, snapshots, and decisions that persist across agent sessions. Triggered when user asks to record semantics. --- # Intent — semantic recording guide This repo uses Intent (`.intent/`) to record semantic history: **what you did and why**, structured as formal objects that survive context loss across sessions and agents. `itt` commands output JSON — parse them, don't guess. ## When this activates - User invokes `/intent-cli` - User says "记录语义", "record what we did", "记录一下", or similar ## Recording flow Recording is **retrospective**. You look back at the work **from the last semantic recording to now** and summarize. This ensures semantic continuity — each recording picks up exactly where the previous one left off. If no previous recording exists (inspect is empty), tell the user you'll record from the current session start. 1. Run `itt inspect` to check current state (active intents, decisions, suspended work) 2. Create **one intent** — the goal of this interaction 3. Create **snaps** — one per meaningful milestone 4. Identify **decisions** — long-lived constraints worth formalizing (requires user confirmation) 5. `itt intent done` — if the goal is fully resolved ```bash itt intent create "Implemented auth retry logic" \ --why "users on slow networks were getting logged out" itt snap create "Added exponential backoff to API client" \ --why "transient 503s from upstream caused cascading failures" itt snap create "Updated error handling in login flow" \ --why "old handler swallowed retry errors silently" itt intent done ``` ## Writing high-quality semantics Every object has two core fields: **`what`** (concise action/theme) and **`why`** (reasoning). ### Intent: `what` + `why` - `what`: one sentence summarizing the goal — **not** a step, not a file name - `why`: the context or motivation behind the goal | Good | Bad | |------|-----| | "Migrate auth middleware to JWT" | "Update auth.py" | | "Fix cascading timeout on slow networks" | "Fix bug" | **One intent per recording, not per step.** A recording session typically produces exactly one intent. ### Snap: `what` + `why` A snap is a **milestone** — a meaningful chunk of completed work under the intent. - `what`: what was done, scannable in a list - `why`: why this approach was chosen, not a restatement of what | Good | Bad | |------|-----| | what: "Added retry with exponential backoff" | what: "Modified api_client.py lines 42-78" | | why: "Linear retry overwhelmed the upstream during recovery" | why: "Because we needed retries" | ### Snap boundary judgment ``` Ask: "If I removed this snap, would the intent's story have a gap?" Yes → keep it as a snap No → too granular, merge into another snap or skip ``` Rules of thumb: - **Snap it**: architectural choice, non-obvious trade-off, significant code change, a conclusion from investigation - **Skip it**: routine edits, formatting, dependency bumps, trivial fixes that need no explanation ### Decision: `what` + `why` A decision is a **long-lived constraint** that outlives the current intent. **The test:** would a future intent on a completely different problem still need to respect this? Yes → decision. No → it's just a snap. | Decision | Not a decision (snap it) | |----------|--------------------------| | "All API responses must include request_id for tracing" | "Added request_id to the auth endpoint response" | | "SKILL must be self-contained — agent reads only SKILL" | "Rewrote SKILL to clarify the recording flow" | **Never create a decision without user involvement.** | Path | Trigger | Action | |------|---------|--------| | Explicit | User says `decision-[text]` or `决定-[text]` | Create directly | | Discovered | You spot a long-lived constraint | Ask: "Should I record this as a decision?" → create only after confirmation | If a user request conflicts with an active decision, say so and ask whether to deprecate. ## Session recovery When activated, always run `itt inspect` first: 1. **Active intents** → continue from `latest_snap`, don't ask user to re-explain 2. **Active decisions** → respect them as standing constraints 3. **Suspended intents** → mention if relevant 4. **Warnings** → run `itt doctor` 5. **Everything empty** → fresh workspace ## Key rules - **Recording is user-initiated** — like git commit, only when asked - **One intent per recording** — summarize the goal, not each step - **Snap semantics, not mechanical details** — capture what+why, not diffs or command logs - **Decisions require user confirmation** — never create on your own judgment - **Always `done` completed intents** — stale intents pollute inspect - **Decision hygiene** — when `active_decisions > 20`, prompt: "当前有 N 条 active decision,要做一轮清理吗?" ## Objects | Object | Fields | States | |--------|--------|--------| | **Intent** | `what`, `why`, `snap_ids[]`, `decision_ids[]` | `active` → `suspend` ↔ `active` → `done` | | **Snap** | `what`, `why`, `intent_id` | Immutable | | **Decision** | `what`, `why`, `intent_ids[]`, `reason` | `active` → `deprecated` | All objects also carry: `id`, `object`, `created_at`, `origin` (auto-detected). Relationships are **bidirectional** and **append-only**. Treat `what` / `why` / `origin` as write-once; statuses and auto-maintained links can advance as work progresses. ## Command reference ### Global | Command | What it does | |---|---| | `itt init` | Create `.intent/` in current git repo | | `itt inspect` | Recovery view — start every recording here | | `itt doctor` | Validate object graph | | `itt version` | Print version | ### Intent | Command | What it does | |---|---| | `itt intent create WHAT [--why W]` | New intent (auto-attaches active decisions) | | `itt intent activate [ID]` | `suspend` → `active` (catches up decisions; infers ID when unique) | | `itt intent suspend [ID]` | `active` → `suspend` (infers ID when unique) | | `itt intent done [ID]` | `active` → `done` (infers ID when unique) | ### Snap | Command | What it does | |---|---| | `itt snap create WHAT [--why W]` | Semantic snapshot (auto-attaches to active intent; `--intent ID` if multiple) | ### Decision | Command | What it does | |---|---| | `itt decision create WHAT [--why W]` | New decision (auto-attaches active intents) | | `itt decision deprecate ID [--reason TEXT]` | `active` → `deprecated` | ### Hub | Command | What it does | |---|---| | `itt hub start [--port PORT] [--no-open]` | Launch IntHub Local | | `itt hub link [--project-name NAME] [--api-base-url URL]` | Link workspace to IntHub | | `itt hub sync [--dry-run]` | Push semantic history to IntHub | ## JSON output **Success:** `{"ok": true, "action": "...", "result": {...}, "warnings": []}` **Inspect:** `{"ok": true, "active_intents": [], "active_decisions": [], "suspended": [], "warnings": []}` **Error:** `{"ok": false, "error": {"code": "...", "message": "...", "suggested_fix": "itt ..."}}` When `suggested_fix` is present, follow it.
Security Status
Scanned
Passed automated security checks
Related AI Tools
More Grow Business tools you might like
Clawra Selfie
FreeEdit Clawra's reference image with Grok Imagine (xAI Aurora) and send selfies to messaging channels via OpenClaw
Agent Skills for Context Engineering
FreeA comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems. Use when building, optimizing, or debugging agent systems that require effective context management.
Terraform Skill for Claude
FreeUse when working with Terraform or OpenTofu - creating modules, writing tests (native test framework, Terratest), setting up CI/CD pipelines, reviewing configurations, choosing between testing approaches, debugging state issues, implementing security
NotebookLM Research Assistant Skill
FreeUse this skill to query your Google NotebookLM notebooks directly from Claude Code for source-grounded, citation-backed answers from Gemini. Browser automation, library management, persistent auth. Drastically reduced hallucinations through document-
Engineering Advanced Skills (POWERFUL Tier)
Free"25 advanced engineering agent skills and plugins for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw. Agent design, RAG, MCP servers, CI/CD, database design, observability, security auditing, release management, platform ops."
Clawra Selfie
FreeEdit Clawra's reference image with Grok Imagine (xAI Aurora) and send selfies to messaging channels via OpenClaw