Agent skill

Process Inbox

by telegramdesktop in telegramdesktop/tdesktop

Process the local ignored ai-tdesktop inbox into durable, independently testable Telegram Desktop task records while task execution worktrees remain active.

GPL-3.0Auto-check passedProductivity & Automation

Install Process Inbox

skills CLI
$ npx skills add telegramdesktop/tdesktop --skill process-inbox -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install telegramdesktop/tdesktop process-inbox --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/telegramdesktop/tdesktop.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/process-inbox .claude/skills/process-inbox && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
process-inbox
GitHub stars
33k
Used in
2 other repos
Token cost
~4.5k tokens
SKILL.md length
2,350 words
Files
4 (incl. scripts)
Skills in repo
4
Repo updated
First seen
Licence
GPL-3.0

At a glance

Process the local ignored ai-tdesktop inbox into durable, independently testable Telegram Desktop task records while task execution worktrees remain active.

  • The user invokes $process-inbox
  • SKILL.md covers Workspace, Route and plan, Assign task paths and Write tracked artifacts, plus 2 more sections
  • Runs Python scripts from its folder; calls python3
  • Process ai-tdesktop/inbox/inbox.md

What it does

Process Inbox is an agent skill from telegramdesktop/tdesktop. Process the local ignored ai-tdesktop inbox into durable, independently testable Telegram Desktop task records while task execution worktrees remain active. Use when the user invokes $process-inbox or /process-inbox, asks to triage or process ai-tdesktop/inbox/inbox.md, or wants inbox notes and pasted images routed into new or existing AI projects and dated tasks without implementing them.

Its SKILL.md is about 4.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts (for example `agents/openai.yaml`, `scripts/workspace.py` and `scripts/workspace_test.py`).

It sits in Productivity & Automation, covering Email management and Git worktrees. It works with Telegram and Python. The repository describes itself as: Telegram Desktop messaging app. The licence is GPL-3.0.

When your agent uses it

  • The user invokes $process-inbox
  • Process ai-tdesktop/inbox/inbox.md
  • Wants inbox notes and pasted images routed into new
  • Existing AI projects and dated tasks without implementing them

Example prompts

  • “/process-inbox”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit f23c378. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 2 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Process Inbox loads about 4.5k tokens when it runs. Until then it costs about 102 tokens; SKILL.md has 2,350 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~102
When it runs · the whole SKILL.md, loaded when a task matches
~4.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from telegramdesktop/tdesktop at commit f23c378, republished under its GPL-3.0 licence (© telegramdesktop). 2,350 words, ~4,488 tokens.

Download SKILL.mdSave it as .claude/skills/process-inbox/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
process-inbox
description
Process the local ignored ai-tdesktop inbox into durable, independently testable Telegram Desktop task records while task execution worktrees remain active. Use when the user invokes $process-inbox or /process-inbox, asks to triage or process ai-tdesktop/inbox/inbox.md, or wants inbox notes and pasted images routed into new or existing AI projects and dated tasks without implementing them.

Process Inbox

When running in Grok Build, read .grok/ai-workflow-adapter.md completely before any other host-specific delegation rule and apply its substitutions.

Before assigning workers, read phase effort and apply its scope-based effort selection and host mappings.

Turn the human-written ignored inbox into tracked planning artifacts. Route and plan only: do not edit Telegram source, build, test, claim, or implement tasks.

Workspace

Run from a Telegram Desktop checkout. Use the bundled helper with an available Python 3 interpreter:

bash
python3 .agents/skills/process-inbox/scripts/workspace.py inbox-ensure
python3 .agents/skills/process-inbox/scripts/workspace.py prepare

Use python or py -3 when that is the host's Python 3 command. The helper:

  • reads Telegram/build/ai-machine-tag;
  • combines it with the checkout folder, for example macbook-twork;
  • locates the sibling ai-tdesktop and ai-tdesktop-worktrees directories, with AI_TDESKTOP_ROOT and AI_TDESKTOP_WORKTREES_ROOT as overrides;
  • ensures the isolated inbox/<checkout-tag> linked worktree exists without creating or inspecting the task execution worktree;
  • snapshots the ignored inbox before planning and prints JSON paths.

prepare resumes the one active .processing-* snapshot when present. Save its transaction, digest, ai_main, inbox_worktree, inbox_branch, and checkout_tag values. Read raw input only from the transaction snapshot, not from the live inbox.

The task execution slot_worktree may be dirty or have unpublished task work. Ignore it completely while processing the inbox: do not read planning state from it, write to it, stage it, commit it, rebase it, or publish it.

For a new transaction, prepare requires clean ai_main and inbox_worktree state with no unpublished inbox commits. It fetches origin when configured, fast-forwards local master, and fast-forwards the inbox branch before taking the snapshot. If the inbox is empty, the machine tag is invalid, or either inbox publication worktree is unsafe, stop without changing or clearing the inbox. Never force-push shared AI history.

Route and plan

Follow the shared project-context policy for discovery, selective expansion, and compact project/index artifacts.

Read these before planning:

  • source checkout AGENTS.md;
  • ai_main/AGENTS.md;
  • the transaction's inbox.md and every file it references.

For each request, start with explicit task/project lineage and relevant task metadata from <inbox_worktree>. Use project names/titles and targeted search matches across live and archived projects to identify candidates, then read their small overviews. Inspect relevant task specifications, input sections, index entries, or detailed references when needed to resolve a dependency or routing ambiguity. Do not load every project's overview or task history.

Some retained task directories have superseded.yaml instead of state.yaml. They are durable aliases created by queue consolidation, not missing or reusable paths. Follow superseded_by chains to their live task when deduplicating, resolving prior receipt references, or checking whether a same-digest result still exists. New dependencies and project links must name the final live task, never an alias. A dated slug occupied by an alias still counts as a collision. Some retired oversized tasks instead have split.yaml, whose split_into list resolves to several live successors. Treat the retained directory as history, deduplicate against all live successors, and never put the split id in a new dependency or project link. A split path is also permanently occupied.

Use one disposable leaf planner when the harness supports delegation; instruct it not to delegate. Otherwise perform the same work locally. The planner may write a proposed routing file inside the ignored transaction, but only the orchestrator writes tracked AI state.

Treat natural-language hints as evidence, not required syntax. Segment the inbox into requests, then decide for each request whether to:

  • create a standalone task with no project;
  • add one or more tasks to an existing project;
  • create a new project when durable shared context is useful.

Never create a task whose work is to move an existing source commit between branches: no backport, forward-port, cherry-pick, rebase, merge, branch sync, or equivalent integration task. Branch placement is human release/history coordination, not product work for the autonomous queue. When a request only asks for that operation, record a receipt-only disposition naming the existing source task or commit description and the requested target branch, then leave the operation to the human. When new product work requires code shipped by an earlier task, route only the product work and express the source task as a dependency; do not create a companion task to bring that dependency onto a branch.

Bias project assignment toward continuity. When a request follows from an existing task, begin with that task's project and keep it unless independence is affirmatively established. A task belongs to the existing project when it builds on project code or behavior, requires source changes shipped by project tasks, assumes the project's branch or accumulated context, or must be ordered after project work. Touching shared infrastructure or an additional non-project consumer does not by itself make the task standalone: projects record feature and code lineage, not exclusive ownership of every touched file.

Route a derived request to another project or to project: null only when it remains coherent, implementable, and independently testable in a checkout where the originating project's changes are absent or reverted. Record that concrete independence evidence in the receipt; "cross-cutting", "cleanup", or "broader than the source task" is not enough. For a request without a source task, prefer an existing project whenever its code, plan, or prior tasks supply essential context, and use a standalone task only when no project does.

Do not create generic holding projects such as fixes. A release batch of unrelated regressions normally becomes standalone tasks or tasks in existing domain projects. Group requests into one task only when they form one cohesive, independently testable behavior that can be implemented, reviewed, and tested as one normal pass.

Split at product boundaries, not arbitrary file or line-count boundaries. A request needs multiple tasks when two or more parts have their own useful outcome and acceptance oracle, when a later part can consume an earlier part as a stable dependency, or when the parts require materially different context, failure analysis, or evidence setup. New network, persistence, concurrency or ownership machinery plus application lifecycle/UI integration are especially strong split signals when each can be exercised independently. Shared project context, overlapping files, or one eventual feature does not by itself justify paying one review and test loop over their combined implementation.

Do not over-split inseparable changes: keep a small API and its only caller together when neither has a meaningful standalone result, and keep one atomic behavior together when separating it would leave an unbuildable or untestable intermediate state. For every proposed task, state the one shipped boundary it owns and the direct evidence that can approve it without first implementing a sibling. If that sentence needs several independent outcomes or several unrelated instruments, split again.

This is the first scope gate, not an irrevocable ruling. Inbox planning uses the request plus light source inspection and deliberately does not construct the implementation plan. The later independent perform-task assessment sees exact files, APIs, phases, ownership boundaries, and evidence design; it may veto the single-task shape when that richer proof exposes independently shippable and testable boundaries. That veto does not mean task sizing is based on elapsed time or diff length, and it does not authorize the performer to mutate the queue itself. The performer publishes split-required; the checkout scheduler then launches a dedicated deep split transaction that creates replacements, rewrites dependencies and project links, and retires the source with a durable multi-target split record.

Project slugs are unique across projects/ and projects/archive/. When a request belongs to an archived project, restore it before routing to it:

bash
python3 .agents/skills/process-inbox/scripts/workspace.py inbox-unarchive \
  --project <slug>

The helper moves the project back to projects/<slug>, rewrites its relative links, and leaves the restored files staged for this transaction's commit. Never point a task at a path under projects/archive/.

Briefly inspect Telegram source when needed to understand scope and testable seams. Do not plan implementation internals and do not modify the source tree.

Assign task paths

Use the processing date and a concise imperative kebab-case slug:

text
tasks/YYYY/MM/DD/<task-slug>/

The task identifier is the path below tasks/, for example:

text
2026/07/18/fix-community-forward

Never ask the human to choose or remember it. Consult existing directories and append -2, -3, and so on to resolve a same-day collision. Dependencies may name only task identifiers created earlier in the same routing result or existing tasks.

Show full SKILL.md (1,017 more words)Show less

Write tracked artifacts

Write tracked planning artifacts only inside the checkout-specific inbox_worktree.

For every task, create task.md:

markdown
# <imperative title>

<self-contained request and relevant constraints>

## Acceptance

- <specific observable result proving the behavior>

## Inputs

- [<descriptive label>](input/<file>)

Omit Inputs when none are used. For visual work, include the design basis and the exact visual/layout evidence expected. Copy every pertinent supplied file into input/; never reference the ignored inbox or its backup from a task.

Keep acceptance criteria to what actually proves the requested behavior. Never write a test-data integrity criterion: the live TelegramForcePortable folder is a disposable copy, so a task must not ask a performer to hash, back up, compare, or restore the account, to verify any setting or folder is unchanged, or to leave the account as it was found. A run may leave templates, theme, wallpaper, window geometry and interface scale mutated. State needs restoring only where a later measurement in the same run depends on it, never as an end-of-run obligation. The test-loop's SETUP owns the folder — it requires the golden test_TelegramForcePortable, reuses a live folder carrying the testing marker, and otherwise prepares a fresh copy — and its test-run command already launches with -testagent -noupdate, so no task needs to require either flag. Every such criterion costs a performer real time and proves nothing about the product.

Never write an acceptance criterion that can only be satisfied by adding debug machinery to production code — #ifdef _DEBUG blocks, debug-only types, observation structs, counters, or hooks in product translation units. Observability belongs to the disposable overlay and the permanent Telegram/SourceFiles/test/ helpers (see "Debug-Only Code" in the source checkout's AGENTS.md). A request whose proof seems to demand production instrumentation is misdesigned: route the product behavior, and let the performer's harness own how it is observed.

Create state.yaml in this exact field order:

yaml
status: todo
type: implement
created: YYYY-MM-DD
project: null
depends_on: []
claimed_by: null
claimed_at: null
claim_order: null
lease_until: null
phase: null
carried_from: null
inbox_receipt: receipts/YYYY/MM/DD/<receipt>.md

Do not write a model field. It records which model finished the task, so only finish writes it, at the canonical Approve, Block, or Split-required boundary; a task carrying one before it is claimed is malformed.

Use a project slug instead of null when routed to a project. Use a YAML list of task identifiers for dependencies. Dependencies record code lineage as well as readiness: keep an approved source task in depends_on when the new task's implementation assumes its shipped changes. State that prerequisite in task.md. This dependency is sufficient; never add a separate backport, cherry-pick, rebase, merge, or branch-sync task to make it reachable. Inbox processing never reserves work: new tasks always remain status: todo with claimed_by, claimed_at, and claim_order set to null. The checkout tag belongs in the receipt only.

Every new task uses type: implement. Do not predict a cheap or expensive execution profile while routing: the performer selects review specialists and evidence instruments after inspecting the real code and risks. Keep acceptance criteria outcome-focused. Name a required build, probe, app run, interaction, or screenshot only when that instrument is itself part of the requested result or no other instrument could decide the claim from the facts already known to the planner.

For a new project, create projects/<slug>/project.md with a concise durable scope and projects/<slug>/tasks.md with task links. For an existing project, append every newly assigned task link, including inherited follow-ups, with only concise optional grouping. Put routing and decision prose in task specifications or the receipt, following the shared policy.

Create one tracked Markdown receipt under receipts/YYYY/MM/DD/. Include:

  • local processing time, checkout tag, and inbox digest;
  • every inbox request mapped to friendly task titles and identifiers;
  • every supplied file mapped to its copied task input, or explicitly unused;
  • created projects and updated projects;
  • deduplication decisions.

Before writing, search receipts for the same digest. If it was already fully processed and every referenced task either has live state, has a durable alias chain reaching live state, or has a durable split record whose successors all resolve to live state, create nothing and reuse that receipt for finalization.

Validate and publish

Before committing, verify:

  • every request and supplied file is accounted for;
  • every new task has task.md, valid state.yaml, and a falsifiable acceptance result;
  • every task link, dependency, and copied input exists;
  • no task or project reference points into projects/archive/;
  • no raw inbox path, .local/, browser profile, portable account, credential, complete run directory, or complete build log is tracked;
  • no Telegram or AI commit hash is copied into a task, project, or receipt;
  • only expected tasks/, projects/, and receipts/ paths changed;
  • tracked text uses the checkout's native convention (LF on Unix/WSL, CRLF on native Windows) without a BOM or mixed line endings.

Publish through the helper, passing every generated or restored task, project, and receipt path explicitly:

bash
python3 .agents/skills/process-inbox/scripts/workspace.py inbox-publish \
  --transaction <transaction-path> \
  --receipt <receipts/YYYY/MM/DD/name.md> \
  --path <tasks/YYYY/MM/DD/task-slug> \
  --path <projects/project-slug> \
  --path <receipts/YYYY/MM/DD/name.md>

Do not run broad staging commands yourself. The helper rejects changes outside the explicit paths, stages those paths, commits them on the inbox branch with Process inbox for <checkout-tag>, fetches and rebases onto current master, pushes HEAD:master when an origin exists, and fast-forwards local master. It can resume publication when the inbox commit already exists. Ordinary non-fast-forward races are retried. If a semantic rebase conflict, unsafe inbox worktree, or remote outage occurs, do not clear the inbox; leave the active transaction and inbox commit recoverable and report the exact state. Never cherry-pick or force-push, and never involve the dirty task slot. When a project was restored, pass both projects/<slug> and its removed projects/archive/<slug> path.

After master contains the generated commit and any configured push succeeded, finalize using the receipt path relative to ai_main:

bash
python3 .agents/skills/process-inbox/scripts/workspace.py finalize \
  --transaction <transaction-path> \
  --receipt <receipts/YYYY/MM/DD/name.md>

The helper accepts only a receipt below receipts/, verifies that exact receipt and digest are present in local master HEAD, checks the live inbox digest, preserves the raw snapshot under ignored inbox/backup/, and empties inbox.md only when the input remained unchanged. If the human edited the inbox during planning, it preserves those edits and reports cleared: false.

If planning fails before any tracked changes or commits exist, preserve the live inbox and close the snapshot with:

bash
python3 .agents/skills/process-inbox/scripts/workspace.py abort \
  --transaction <transaction-path>

Do not abort after a generated inbox commit exists; retain the transaction so publication can be resumed.

Report

Return a compact summary with friendly task and project titles, the AI master publication status, the local backup path, whether the inbox was cleared, and any unused input. Do not report a commit hash or start implementation automatically.

© telegramdesktop, GPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (scripts) in .agents/skills/process-inbox of telegramdesktop/tdesktop.

  • SKILL.md
  • agents/openai.yaml
  • scripts/workspace.py
  • scripts/workspace_test.py

Open the folder on GitHubat commit f23c378

Used in 2 other repositories

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in telegramdesktop/tdesktop, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Process Inbox next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Process Inbox compared with similar skills
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Pytdbotpytdbot/client137—~4.3kAutomated safety check: PassMIT
Setupterranc/claude-telegram-bot-bridge134—~1.5kAutomated safety check: NotesNone
Smart Email AgentLeoYeAI/openclaw-master-skills2.2k—~4.7kAutomated safety check: PassMIT
Cross Channel MessagingPeiiii/nextclaw260—~3.2kAutomated safety check: PassMIT

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Works with

Questions about Process Inbox

What does Process Inbox do?

Process the local ignored ai-tdesktop inbox into durable, independently testable Telegram Desktop task records while task execution worktrees remain active. Process Inbox is an agent skill from telegramdesktop/tdesktop. Process the local ignored ai-tdesktop inbox into durable, independently testable Telegram Desktop task records while task execution worktrees remain active.

When should I use Process Inbox?

Process Inbox fits situations like: the user invokes $process-inbox; process ai-tdesktop/inbox/inbox.md; wants inbox notes and pasted images routed into new; existing AI projects and dated tasks without implementing them.

How do I install Process Inbox in Claude Code?

Run `npx skills add telegramdesktop/tdesktop --skill process-inbox -a claude-code`. Or copy the skill folder (.agents/skills/process-inbox in telegramdesktop/tdesktop) into .claude/skills/process-inbox in your project. Claude Code loads it when a task matches its description.

How do I install Process Inbox in Codex?

Run `npx skills add telegramdesktop/tdesktop --skill process-inbox -a codex`. Or copy the skill folder (.agents/skills/process-inbox in telegramdesktop/tdesktop) into .agents/skills/process-inbox in your project. Codex loads it when a task matches its description.

Can I use Process Inbox in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add telegramdesktop/tdesktop --skill process-inbox -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/process-inbox, .gemini/skills/process-inbox, .github/skills/process-inbox and .opencode/skills/process-inbox in your project.

What does Process Inbox need to run?

Going by SKILL.md and its folder, Process Inbox needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Process Inbox access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Process Inbox safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Process Inbox use?

Process Inbox is published under the GPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Process Inbox use?

About 4.5k tokens (SKILL.md is roughly 18k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Process Inbox?

Skills that share tags, products or a category with Process Inbox: Tg Responder (glebis/claude-skills, 388 stars), Pytdbot (pytdbot/client, 137 stars), Setup (terranc/claude-telegram-bot-bridge, 134 stars) and Smart Email Agent (LeoYeAI/openclaw-master-skills, 2.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Process Inbox?

telegramdesktop (a GitHub organization) maintains it in telegramdesktop/tdesktop, which has 33,126 GitHub stars. The repository holds 4 skills in this directory. The repository was last updated on October 6, 2026.

Source: telegramdesktop/tdesktop on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.